اولین کنگره بین المللی هوش مصنوعی در علوم پزشکی، اردیبهشت ماه ۱۴۰۲

مقالات پذیرش شده در اولین کنگره بین المللی هوش مصنوعی در علوم پزشکی

• Development of faculty members in the smart university

• Use of telehealth system to monitor obesity in children with diabetes

• Application of Machine Learning to Develop a Mucormycosis Mortality Prediction Model

• A Report of an experience in using artificial intelligence andtelemedicine to control the ECG of patients with diabetes

• Use of Internet of Things in Covid-۱۹ pandemic

• Using Machine Learning Models to Evaluate the Need for COVID-۱۹ Vaccination

• Identifying the most effective knowledge factors on HPV’s stigma among healthcare workers using feature selection models

• Design, implementation and evaluation of mobile app for self-management of patient with chronic myeloid leukemia

• The role of smart mirrors in health: a domain review

• Application of artificial intelligence and natural language processing in chronic low back pain: a domain review

• Top emerging Technology trends in medical education: from augmented reality to Holoportation; Upgrade solutions for Tele-proximity and Embodiment: A review article

• Machine learning approaches for diagnosing depression: A narrative review

• Biopsy smart assistant (Biopsa)

• The effect of smart web-based tools on the compliance and implementation of self-care measures among coronary artery bypass graft patients

• Artificial Intelligence for Self-Care: A Systematic Review

• Medical Decision Support using Machine Learning for Early-Onset Neonatal Sepsis Prediction

• Machine Learning Approaches to Predict Late-Onset Neonatal Sepsis in the Neonatal Intensive Care Unit

• Developing a Conceptual Framework for a Smart University of Medical Sciences: A scoping review

• Mobile Health Technology for Monitoring and Management of Inflammatory Bowel Disease: a systematic review of technical aspects

• Bone fracture risk prediction based on clinical variables and DXA results by support vector machine

• The Diagnostic values of Machin learning models in early detectionof Endometrial Cancer: A Diagnostic Meta-Analysis

• Predict of Non-alcoholic Fatty Liver Disease Using Anthropometric Analyzing and Obesity Degree by Machine Learning

• Bone Age and Sex Prediction by Left-hand X-ray Images Dataset using ResNet۵۰ Deep Neural Network

• Investigating the relationship between laboratory elements and factors affecting stress levels by using data mining

• The strategic role of artificial intelligence in developing mobile health

• Application of deep learning in the prognosis of liver cancer patients: A systematic review

• PTM: Part-Of-Speech Tagger for Persian clinical notes Based on Hidden Markov Model

• Analysis of competitive endogenous RNA (ceRNA) network to finddiagnostic biomarkers for gastric cancer using machine learningmethods

• Application of machine learning in building a diagnostic model for gastric cancer based on a survival-related competitive endogenous RNA (ceRNA) network

• Applications of Artificial Intelligence in osteoporosis and post-fragility fracture care: A Short Review

• Determining the type of BTE or ITE hearing aid Using Expert System

• A review on AI in radiology in Iran

• Protocol for design and development of a mobile application basedon self-acupressure and Chinese dietetics guide for women withmenopausal hot flashes

• Psychometric Evaluation of Medical Artificial Intelligence Readiness Scale for Medical Students

• Traditional medicine and artificial intelligence

• Deep learning for the classification of Attention-deficit/hyperactivity disorder (ADHD) using neuroimaging data: A Systematic review

• Brain tumor diagnosis and prediction using artificial intelligence

• Visible-Near-Infrared Spectroscopy System for Non-Invasive Blood Glucose Monitoring

• Applications and Outcomes of Using Chatbots in Medical and Health Sciences, Feasible or Not: A Review of The Literature

• Implementation of national eLogbook AI-BI dashboards for residents’ clinical performance assessment

• Improvements, Performance, and Application of Artificial Intelligence in Dentistry

• Application of machine learning and deep learning algorithms in osteoporosis classification, diagnosis, prediction and screening. Review

• Integration of artificial intelligence and microfluidics for disease diagnosis: a systematic review

• Application of Artificial Intelligence in Computer Tomography (CT)

• Predicting ESI triage score using ensemble machine learning algorithms for patients in emergency medicine at Tehran hospitals

• Compering AI methods-based and none AI methods-based in diagnosis Parkinson

• The effect of laughter therapy using virtual reality on the severity of depressive symptoms in patients with major depressive disorder: a narrative review

• Analyzing the co-occurrences of allergies applying association rule mining based on nature-inspired optimization algorithms

• The use of artificial intelligence in detections, management and determining the prognosis of brain tumours; new insights

• Metaverse Technology for intelligent Health Care: A Review of Potential Applications and Challenges

• Diagnosis of idiopathic pulmonary fibrosis using artificial intelligence:a systematic review and meta-analysis

• Body Composition Prediction based on Simple Anthropometric and Demographic Measures Using Machine Learning Methods

• Association of pharmacist telephone follow-up and perception of illness with acceptance of drug treatment in patients with bipolar disorder: a narrative review

• Artificial intelligence in COVID-۱۹ vaccination programs and storage

• Evaluation of the performance of faculty members of Iran University of Medical Sciences using Association rule Mining

• The impact of mobile health on the multiple sclerosis patient’s quality of life by controlling comorbidity: a systematic review

• An Overview of Artificial Intelligence Methods in Zebrafish-based Tests

• A narrative review of the application of artificial intelligence and drug repositioning for the identification of fibroblast growth factorreceptor inhibitors

• Investigating the effects of High-Tech Digital Industries in dealing with epidemics: a case study of Covid-۱۹

• Blockchain Technology in Healthcare Domain: Applications and Challenges

• Artificial Intelligence and Health Equity

• Investigating the Effect of Using Deep Learning Algorithms in CT scan and Chest X-ray Images on Improving the Diagnosis of Covid-۱۹

• Artificial intelligence in transplantation surgery: evolution, current state and future directions perspectiveTransplantation surgery

• Potential and Design Characteristics of Artificial Intelligence-based Chatbots as Virtual Patients in Medical Education: A Review Study

• Rapid and Noninvasive approach to evaluate the quality of embryos produced during in vitro fertilization by Raman spectroscopy

• Identification of novel genes in Non-alcoholic fatty liver disease with Machine learning

• Artificial Intelligence in Disease Diagnostics and Prediction

• Robotics, At the Heart of Rehabilitation

• Comparison of machine learning algorithms in the diagnosis of pancreatic ductal adenocarcinoma through urinary biomarkers

• Application of deep learning models for detection of subdural hematoma: A systematic review and meta-analysis

• Internet of Robotic Things in Healthcare Domain: Applications and Challenges

• Healthcare ۴.۰: A review of concept, applications, and challenges

• Potential challenges of incorporating artificial intelligence (AI) solutions into workflows of breast imaging departments

• Design and Development of Web-based Hospital Information System in Mashhad Velayat Electronic Hospital

• Predicting the success of dental implant treatment using Artificial intelligence and Machine learning

• Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-۱۹ by digital innovations: a systematic literature review

• Artificial intelligence in family medicine (AIFM): A scoping review of the literature

• Applications of Intelligent Computer Diagnosis Systems in Different Majors of Medicine

• Output Feedback Stabilization of Image Guidance of Steering Flexible Bevel-Tip Needles

• A review of the efficiency of the computerized physician order entry system for prescribing drugs in the clinical setting

• Nursing management information dashboard: A technology-based solution to improve nursing management

• DxGenerator: An Improved Differential Diagnosis Generator for Primary Care based on MetaMap and Semantic Reasoning

• The association between biochemical factors and type ۲ diabetes: a machine learning approach

• AI dopped metaverse platform to develop avatar-based Schizophrenia personalized treatment

• Determining the accuracy of an artificial intelligence-based model to automate the screening phase of related studies in the systematic reviews and comparing it with existing models in terms of strengths and weaknesses

• Introducing h-NFIs (Health Sector Non-Fungible Intelligence) to describe impact of artificial intelligence on non-fungible token inhealthcare system

• Effects of social media on vaccine hesitancy using artificial intelligence (AI): a systematic review

• A review of the implementation of a medication decision support system to improve patients’ drug usage evaluation

• Current State of Federated Learning in Cardiology: A Narrative Review

• The clinical information and graphical representation of chronic kidney diseases

• The Impact of Online Training in Positive Thinking Skills on Social Adjustment and Alexithymia in students with major depression

• Detection of major structural Chromosomal Abnormalities in human Karyotypes using Convolutional Neural Networks

• Artificial Intelligence and Machine Learning in Orthopedic Imaging: Definition, and Applications

• Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions

• Use of deep learning-based algorithms to detect keratoconus changes in the color-coded corneal maps

• Deep learning for early detection of osteopenia and osteoporosis in lumbar vertebrae based on T۱-weighted lumbar MRI

• Using optimized artificial intelligence to integrate Scheimpflug-based corneal tomographic and biomechanical data to enhance ectasia risk detection

• Artificial intelligence; Its history, applications and novelty in medicine

• Smart solutions in the medicine

• An overview of artificial intelligence-based drug toxicity prediction tools

• The smart diagnostic,therapeutic and educational device for traditional chinese medicine:A protocol study for an inventionbased on AI

• A machine learning-based framework for the diagnosis and grading of non-alcoholic fatty liver disease using anthropometric features

• Developing a COVID-۱۹ mortality prediction model for hospitalized patients using machine learning methods

• Artificial intelligence for a smart university of medical sciences

• Medical and Paramedical Students’ Perspectives on Artificial Intelligence in Mashhad, Iran: A Cross-Sectional Study

• The Effect of Machine Learning Algorithms in The Prediction, Diagnosis, and Prevalence of Meningitis: A Systematic Review

• The effects of Virtual Reality in natural childbirth: A systematic review

• Artificial intelligence applications for dietary assessment in the nutrition research

• Intelligent segmentation of MRI images with the help of genetic algorithm to extract brain tumor

• Clinical application of artificial intelligence in colonoscopy and endoscopy for gastrointestinal bleeding: New techniques and outcomes.Review

• Automatic Classification of Movement Imagination using Electroencephalography (EEG) Signals with Application in Brain-Computer Interface

• An Overview of Artificial Intelligence-based Extracellular Vesicle Characterization Methods

• Artificial Intelligence Solutions in Prediction, Control and Prevention, Diagnosis of Hospital Infections: A Systematic Review

• Design and development of mobile application for managing poisoned patients

• Evaluation of Breast Cancer using Artificial Intelligence in various modalities

• Automated artifact removal in ultrasound images based on deep learning

• Hypnothechnology: Implication of technology in Hypnosis

• Comparing various methods of artificial intelligence in diagnosis of polycystic ovarian syndrome

• Cervical Cancer Diagnosis and AI

• Automatic speech recognition (ASR)

• Development of novel small molecule inhibitors targeting angiotensin II type ۲ receptor against colorectal cancer

• The mattress temperature control device based on the heart rate, body temperature and Environment temperature to reduce heart attack in Morning. (CardioTherma)

• Optimized Searches in Genetic Identification: A System of Artificial Intelligence for Forensic Medicine

• Factors affecting the acceptance of companion health services by physicians working in Tabriz University of Medical Sciences hospitals

• Financial technologies (FinTech) in the health system

• Application of Artificial Intelligence in Early Diagnosis of Alzheimer’s Disease

• Designing the dashboard for reporting research performance atMashhad University of Medical Sciences

• Designing and implementing the screening system for ethics committee in Mashhad University of Medical Sciences

• communication How electronic nursing handover system improve and patient safety

• Artificial Intelligence and Colonoscopy

• Diagnosing acute appendicitis disease using support vector machine

• Kidney disease diagnosis model using support vector machine

• Diagnosis of Pulmonary Tuberculosis Using Naive Bayes Algorithm

• A Data-Driven Machine-Learning Approach for Small Airway Disease Risk Prediction

• Digital Pathology and the Role of Artificial Intelligence in Medical Diagnosis

• Prediction of diabetes using machine learning and data mining algorithms

• Using The VAE GAN Structure as Pre-Training Technique to Improve Deep Learning Performance for Medical Image Classification

• Missing data in machine learning: Evaluation of missing data in the dataset obtained from a study to determine the risk of mortality in critically ill COVID-۱۹ patients with kidney disease as an example of a dataset in the field of medical research

• How can artificial intelligence predict syncope?

• The role of artificial intelligence in detecting babies crying nature

• Comparison of Data Mining Methods for Survival Analysis of High-dimensional Data for Children with COVID-۱۹

• Prediction of post-operative clinical parameters in posterior scoliosis surgery through an adaptive neuro-fuzzy interface system

• Are the criteria for diagnosing and treating autism effective? A short review on application of artificial intelligence in autism spectrum disorder

• Artificial intelligence in Pharmacology and practice

• Federated Learning in Radiology

• Emotional Artificial Intelligence, brings the images of humanoid robot

• Early childhood caries; using Machine Learning algorithms to identify leading risk factors

• Application of Artificial Intelligence to Advance Environmental Health Research: A Review

• Contribution of Iran in Artificial Intelligence in Healthcare Studies: A Bibliometric Analysis

• Predicting In Vitro Fertilization Outcome with Artificial Intelligence

• In silico study of the expression of effective genes in chemotherapy resistance in gastric cancer

• Evaluation of CYP۲D۶ polymorphisms and other parameters on the plasma concentration of the tomoxifen and its metabolites by machine learning approaches

• Artificial intelligence and reduction of medical errors in laboratory diagnosis

• Multi-slice and multi-contrast brain MRI reconstruction from undersampled k-space using deep neural networks

• Improvement prenatal care with artificial intelligence: A systematic review

• Implementing a Hierarchically Classification of COVID-۱۹ and Pneumonia Diseases Using Deep Learning

• Preparation of Abstract for the International Congress on Artificial Intelligence in Medical Sciences

• Appraisal of Smart nano drug delivery systems

• Comparing various methods of artificial intelligence in the diagnosisof polycystic ovarian syndrome

• Estimating faults of the sensors and actuators in the IoMRT system

• Cholesterol uptake capacity for cardiovascular disease risk assessment in the MASHAD cohort study population

• Artificial Intelligence and Machine Learning in Orthopedic Surgery: Applications, Current State, and Future Prospective

• Vision Transformers: An effective method besides CNNs to capture the global context in medical image analysis applications

• Bibliometrics of using artificial intelligence and related technologies in the rehabilitation of brain vascular injuries

• Developing a Chimeric-Vaccine against Epilepsy via Immunoinformatics and Artificial Intelligence techniques

• Advancements in Multi-Epitope Vaccine Development for Myasthenia Gravis: An Innovative Approach

• Application of machine learning algorithms in fMRI studies: a scientometric analysis

• Clinical Reasoning and Cognitive Errors: Is Artificial Intelligence the Solution?

• Review on Artificial Intelligence in Cancer Research; diagnosis, prognosis and prediction

• Designing a smart wristband to increase patient safety and quick access to patient’s clinical information

• Evaluation of the Interface Quality of a Mobile Application for Kidney Transplant Candidate Patients on the Waiting List: Expert Point of View

• Exploring Novel Smart Hydrogel Dressing for Wound Monitoring and Accelerating Wound Healing (review)

• The Usage Pattern of The Internet and Social Media Transgender People

• Designing a Minimum Data Set for Tele-monitoring System for Kidney Transplant Patients in Waiting List

• The application of Spiking Neural Networks in Schizophrenia

• The Role of Artificial Intelligence (AI) in Diagnosis, Treatment, and Prognosis of Neuroimmune Disorders

• Proptosis severity detection on Orbit CT scan with using image processing and supervised learning

• Evaluating the side effects of Covid-۱۹ vaccines with artificial intelligence methods

• Breast Cancer Diagnosis by Machine Learning Techniques: A Risk Prediction Model Study

• Convolutional Neural Network-Based Electrocardiogram Analysis for Myocardial Infarction Detection in Patients Underwent ۲۴/۷ Percutaneous Coronary Intervention: A Study Protocol

• Train NNN model on lung CT scan of normal people and introducing new dataset

• Accuracy assessment of robotic systems in dental implant surgery: a systematic review

• A large-scale dataset for mammography and a model for predicting BIRADS Score

• Liver vessel segmentation based on attention guided deep convolutional neural network from CT images

• Quick Mask Detection with Edge Detection model and YOLO۵ Detector in Deep Learning

• Diagnosis in Psychiatry with the Help of artificial intelligence

• Online artificial intelligence based mental health interventions for youth: A Systematic review

• Evaluation of people’s sentiments towards Covid-۱۹ vaccine side effects based on artificial intelligence methods

• Application of machine learning algorithms in EEG studies: a scientometric analysis

• Investigating the level of consciousness with artificial intelligence, a narrative review

• A review of the relationship between artificial intelligence and mental health (with a focus on major depressive disorder)

• A Software Architecture for Sharing and Reusing Health Data in Smart Hospitals

• Machine Learning Algorithms Applications for Early Diagnosis of Osteoporosis using Medical Images: a Systematic Review andMeta-Analysis

• Development of an AI-Powered Decision Support System for Early Diagnosis and Treatment of Neurological Disorders

• Ensemble classification algorithms on acoustic features to predict Parkinson’s disease

• Non-invasive Brain-Computer Interfaces (BCIs) for the Treatment of Neurological Disorders

• Automatic diagnosis of insomnia using artificial intelligence: A narrative review

• Designing a Software for Pregnant Women with Heart Disease in Iran

• critical analysis in medical dehumanization by artificial intelligence on Feenberg’s perspective

• Evaluation of gastric cancer imaging using Artificial Intelligence and Deep Learning

• A Systematic review on using deep learning in Retinopathy of Prematurity

• Electrocardiogram based Sleep Apnea Detection using SVM Classifier

• Applications of Artificial Intelligence in Dentomaxillofacial imaging: A systematic Review

• Assessment of efficacy and accuracy of segmentation methods in Dentomaxillofacial imaging- A systematic review

• Optimization of ۳D printing application in pharmaceuticals through artificial intelligence - A review

• Identification of the Optimal Artificial Intelligence Algorithm for predicting Myocardial Infarction: A Review

• Machine Learning Algorithms for Predicting Mortality in Locally Advanced Colorectal Cancer Patients following Tumor Resection: An Innovative Analysis of Post-Surgery Outcomes

• Evaluating the role of different artificial intelligence algorithms in increasing the speed of neural networks used in pattern recognitionof breast masses

• A comprehensive view of the emerging technology of artificial intelligence as a double-edged sword: smart chat boxes in education and challenges

• Diagnosis and Classifying Cancer Subtypes Based On Gene Expression Data Using Cost-Sensitive Hybrid Deep Learning

• The smart diagnostic, therapeutic and educational device for traditional Chinese medicine: A protocol study for an inventionbased on AI

• An ANN-Based QSAR Model to Predict Anti-Staphylococcus aureus Activity of Oxadiazoles

• Prediction of Post-Traumatic Stress Disorder (PTSD) in Healthcare Workers Based on Machine Learning

• The accuracy of Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) in diagnosing different types of AcuteLymphocytic Leukemia based on Peripheral Blood Smear

• Machine learning-based techniques in liver transplantation: a systematic review

• Diagnosis of lung cancer in Artificial Intelligence age: A systematic review

• Designing and production a smartphone-based patient education application for chronic kidney disease (mobile)

• An intelligent model in Human physical activity recognition for personal health assistant

• An architecture for sharing and reusing health data

• Biomedical research as technology: Blockchain solution for decentralization based on Habermas critical theory

• Evaluation of machine learning methods to stroke mortality risk prediction

• Characteristics of Smart Hospital: A Review Study

• Distinguishing anti-hyperglycemic agents poisoning by machine learning: producing a practical web application using National Poison Data System

• The algorithm of selection next hop in wireless body area network based on framework of map reduce

• Classifying Various Types of Symptoms of COVID-۱۹ (CTSC) in Twitter Using Deep Learning Algorithms

• Distinguishing acute poisoning agents using machine learning models derived from the National Poison Data System (NPDS)

• Advance Technologies for Smart Patient Tracking Systems

• Efforts on Smart Hospitals: A Systematic Review

• Optimization of parameters influencing the enzyme-like activity of ZnCr-LDH/rGO nanocomposite for colorimetric detection of H۲O۲ using Taguchi artificial intelligence method

• Application of text data mining in covid-۱۹: a systematic review

• Artificial intelligence and covid-۱۹ disease; Narrative Review

• Integrative analysis of hub genes to explore communication between gut-brain axis: in-silico analysis

• Repro-AI: status and future prospects

• A systematic review of artificial intelligence for mental rehabilitation

• Multi-View Causal Feature Selection with Error-aware Markov blanket learning for NAFLD Diagnosis

• Management of diabetes using artificial intelligence: A Systematic Review

• Machine Learning Methods to the Prediction of Iranian Household Health Expenditures

• Scientometric study on AI-based medical sciences in Iran

• Effectiveness of Telerehabilitation on Children with Autism Spectrum Disorder and Their Families

• Pharmacy management computer system: a way to a smart pharmacy

• Developing Artificial Intelligence for Precision Diagnosis of Prostate Cancer Using Tumor Biomarker Expression Patterns: A Systematic Review

• The role of Internet of Things in the development of Industry ۴.۰ in the health care system

• Quantitative Structure-Activity Relationships in Toxicity and Binding Affinity Prediction of Anti-Cancer Drug-Like Molecules Utilizing Neural Networks Techniques

• Design of a light-weighted model for enhancement of Malaria Parasite Detection

• Prediction of diabetes using data mining and machine learning

• Using the Precision Lasso for gene selection in diffuse large B-cell lymphoma cancer

• Classification of healthy individuals and patients with epilepsy based on Electroencephalography signals by functional data analysis

• Immunoinformatics analysis of Fas/MMP-FasL interactions to evaluate molecular basis of cytokine storm activation in COVID-۱۹ patients

• Using FAHP and Type II Fuzzy methods to prioritize the top ten factors in deciding to recommend diet in dyslipidemia patients

• A Review on Machine Learning and Deep Learning Methods for Detection of Alzheimer’s Disease

• Design of a smart hospital bed based on Internet of Things

• Game-changing trends in the development of digital health tools from physician-centered to patient-centered care

• Investigation of artificial intelligence patterns in the diagnosis of autism Spectrum disorder (ASD)

• Application of machine learning in medical sciences: a scoping systematic review

• Ethical considerations in Artificial Intelligence? Why not?

• How Connected Technology is Transforming Healthcare

• The rise of artificial intelligence in the design and development of messenger ribonucleic acid vaccines: A systematic review

• Artificial intelligence approaches for design/discovery of therapeutic proteins: a systematic review

• Drug-Target Interaction (DTI) prediction using Artificial Intelligence (AI): A systematic review

• Prediction of Opioid Use Disorder (OUD) or Opioid Overdose using Artificial Intelligence (AI): a Systematic Review

• Blockchain for Remote Patient Monitoring: A Narrative Review

• Artificial Intelligence and ethico-legal challenges in healthcare: A Scoping Review

• Development, implementation, and pilot evaluation of a webbased virtual simulated learning environment for pharmacy practiceeducation

• Artificial Intelligence in Emergency Medical Services: A Systematic Review Study

• Automatic lung classification from x-ray Images of normal and pneumonia patients

• Challenges and opportunities of artificial intelligence in the nursing profession: A systematic review

• Challenges and opportunities of the implementation of machine learning in geriatric clinical care: A systematic review

• Artificial intelligence-based drug repositioning for nervous system disorders: A systematic review

• Challenges and opportunities of the implementation of machine learning in burn clinical care: A systematic review

• Potential roles and applications of machine learning for burn wound management

• Diagnostic sensitivity of NeuroAdvise, an innovative medical application in diagnosis of neurological disorders

• The capability of chatbots to manage chronic diseases: a systematic review

• Assessment of HDL functionality by a newly cell free method: Cholesterol Uptake Capacity (CUC)

• Application of in silico techniques and artificial intelligence for the design of a recombinant vaccine based on SARS CoV-۲

• Artificial intelligence in herbal medicine and drug discovery

• Immunoinformatics vaccine design against neurological disorders; Machine learning-based reverse vaccinology approaches

• Applications and capabilities of Augmented Reality in surgery: a systematic review

• Remote Dental Examination through a Newly Designed Mobile Application

• Angiographic images modeling and processing of coronary artery disease patients in order to determine coronary artery stenosis

• Designing and psychometric analysis of an instrument to assess the attitude of medical science faculties towards the use of ChatGPT in medical education

• Psychometric analysis of an instrument to assess the attitude of medical students towards the use of Artificial Intelligence in medical education

• Applications of Ensemble learning techniques for Knee Arthroplasty surgery: a systematic review

• Applications of AI in Veterinary Medicine

• The Future of Epilepsy Management: Advancements in AI Diagnosis, Treatment, and Prognosis

• Recommendation Systems Used in the Field of Nutrition; A Systematic Review Study

• Artificial intelligence (AI)-assisted systematic review and meta-analysis in medical sciences; How close are we to automated synthesis of evidence? A perspective

• Using Artificial Intelligence Chatbots To Promote Physical Activity, Healthy Diet, And Weight Loss

• Using four common machine learning methods to classify breast cancer

• Virtual Reality and Augmented Reality in Dentistry: A Review Study

• The Application of Artificial Intelligence in the success rate of In Vitro Fertilization

• Use of Artificial Intelligence in the Diagnosis of Dental Caries: A Review Study

• Application of machine learning and deep learning in diagnosis and treatment of anterior cruciate ligament and meniscus tears. New techniques and outcomes.Review

• How virtual reality laughter therapy affects the severity of depressive disorders: a narrative review

• The effect of online peer feedback on learning outcome and academic motivation

• The effects of education on spirituality through virtual social media on life satisfaction among gastrointestinal cancer patients

• A Review on Various Machine Learning Algorithms for Classification of Urine Sediments

• Toward modeling Liver Fibrosis in Hepatitis Patients using soft computing techniques

• Analyzing Science and Innovation-Related Indicators and Their Relationship with COVID-۱۹ Pandemic Control Using Statistical and Machine Learning Experiments

• The interaction of artificial intelligence tools and development of Parkinson’s drugs: a new glance to near future

• A Scoping Review of Clinical Diagnosis, Classification and Treatment of Patients in Huntington’s Disease: An Artificial Intelligence Approach

• Schizophrenia: Artificial Intelligence approach and Drug Development

• Computer vision application in diagnosis of the need for apicoectomy surgery

• Predicting, Detecting, and Monitoring Cognitive Impairments using Artificial Intelligence: A Systematic Scoping Review

• A systematic review and meta-analysis of Machine Learning Models for early detection of Coronary Heart Disease Using Nutritional data

• The Role of Multimodal Machine Learning in Alzheimer’s Disease: A Review

• The use of Machine Learning models in the diagnosis of Parkinson’s Disease with fMRI data: a Systematic Review and Meta-Analysis

• Presenting a predictive model for the death of COVID-۱۹ patients based on the machine learning method using HRCT images

• Artificial Intelligence for Improving the Proactive Intelligent Safety of Pedestrians

• Content Analysis of Persian Language Mobile Applications For Liver Diseases Using The Mobile App Rating Scale (MARS)

• Application of machine learning and deep learning algorithms in osteoporosis classification, diagnosis, prediction and screening.Review

• Applications of artificial intelligence for pre-implantation kidney biopsy pathology practice: a systematic review

• Robust Deep Stack Auto-encoder Approach for Image Classification: A Novel Fuzzy Attitude

• An efficient approach to deal with the lack of data in medical image segmentation applications using Capsule Networks

• Analysis of Lung Scan Imaging Using Combination of Image Processing Algorithms and Deep Multi-Task Learning Structure for Covid-۱۹ Disease

• The Impact of Using the Electronic Disease Process Form in Improving the Performance of Diagnosis, Prescribing the Type and Dose of Medicine by the Health Care Providers and the Patient’s Response to Treatment in the Electronic Hospital of Mashhad Velayat in ۲۰۲۲

• Self-care software for early diagnosis of preeclampsia syndrome

• Introducing a deep neural network structure with practical implementation capability for polyp detection in endoscopic and colonoscopyvideos

• Improving Left Ventricular Segmentation in Echocardiographic Images using two-dimensional UNet Architecture

• Automated Mandible Segmentation using ۳D-UNet for Virtual Surgical Planning: A Deep Learning Approach

• An Overview to Real-Time Automated Liver Segmentation during Laparoscopic Cholecystectomy

• The accuracy of Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) in diagnosing different types of Acute Lymphocytic Leukemia based on Peripheral Blood Smear

• A Machine Learning Based Model to Identify The Relative Location of CT Scan Slices

• Analysis of COVID-۱۹ Distribution in Countries Using Unsupervised Machine Learning

• Development and Implementation of Wearable Sensors for Early Detection and Monitoring of Neurological Disorders

• Prediction of Nanoparticle Toxicity Using Machine Learning

• Computational Hematoxylin-and-Eosin staining of fluorescence confocal microscopy for basal cell carcinoma tissue based on unsupervised deep learning approach

• Survival Prediction in Traumatic Brain Injury Patients Using Machine Learning Algorithms

• Artificial Intelligence Model for Cardiovascular Incidence Prediction: A Practical Deep Learning Approach Based on Isfahan Cohort Study

• Predicting pain score in different doses of ondansetron using a powerful machine learning method in upper limb orthopedic patients

• Brain tumor segmentation using morphological operation and threshold in PET images

• Predicting the cognitive ability of young women using a new feature selection algorithm

• T۲-Weighted (T۲W) synthesis from brain Fluid-Attenuated-Inversion- Recovery (FLAIR) images and vice versa based on deep learning methods

• Design at home Sperm Test Medical Device (SPOO) based on Machine Vision

• Using deep learning networks for classification of lung cancer nodules in CT images

• Deep Learning-Based Pediatric Bone Age Estimation Using Enhanced Images and Pretrained Models

• An Adaptive Neuro-Fuzzy Inference System to predict Acute Lymphocytic Leukemia prognosis in children

• A deep learning framework for Segmentation of acute ischemic stroke lesions on multimodal MRI images

• Management of Thyroid Nodules Based on ACR-TIRADS in Ultrasound Images by Deep Learning

• A MobileNetV۲-based Android Application for Acute lymphoblastic Leukemia diagnoses and classification of its subtypes

• Mortality risk assessment of COVID-۱۹ Patients using Cause-specific hazard regression models: The Khorshid COVID-۱۹ Cohort study

• Designing a multi-Epitope Vaccine against Parkinson’s Disease: An Immunoinformatics and AI approach

• Developing data visualization tools to improve the efficiency and ease of healthcare analysis

• Telepharmacy Research Trends; Current Situation and Future Perspective

• An Intelligent e-clinic for Computer-aided Diagnosis and Prognosis

• RayaTabib, a new Persian medical advisor application based on artificial intelligence

• Designing and evaluating a nutrition recommender system for improving food security in a developing country

• Introducing a deep neural network structure with practical implementation capability for polyp detection in endoscopic andcolonoscopy videos

• T۲-Weighted (T۲W) synthesis from brain Fluid-Attenuated-Inversion-Recovery (FLAIR) images and vice versa based on deep learning methods

• Scoping Review: Possible Role of Artificial Intelligence on Cognitive Improvement of Children with Cerebral Palsy