Explanipedia

Performance of large language models in medical licensing examinations: a systematic review and meta-analysis Open

Abdollah Mahdavi, Alireza Mohammadnia, Mahnaz Hamedan · 2025

Purpose: This study systematically evaluates and compares the performance of large language models (LLMs) in answering medical licensing examination questions. By conducting subgroup analyses based on language, question format, and model t…

Benefits and challenges of electronic pharmaceutical prescriptions Open

Sara Najafi Sarband, Masoud Amanzadeh, Roya Naemi, Jafar Mohammadshahi, Abdollah Mahdavi · 2024

The Role of Large Language Models in Modern Medical Education: Opportunities and Challenges Open

Abdollah Mahdavi, Masoud Amanzadeh, Mahnaz Hamedan · 2024

Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review Open

Abdollah Mahdavi, Masoud Amanzadeh, Mahnaz Hamedan, Roya Naemi · 2023

Context: Artificial intelligence (AI) Chatbots are computer programs that simulate human conversation and use artificial intelligence, including machine learning and natural language processing, to interact with users via natural language.…

Human resource management (HRM) strategies of medical staff during the COVID-19 pandemic Open

Abdollah Mahdavi, Rasha Atlasi, Maryam Ebrahimi, Ehsanollah Azimian, Roya Naemi · 2023

Digital Cognitive Tests for Dementia Screening: A Systematic Review Open

Masoud Amanzadeh, Mahnaz Hamedan, Alireza Mohammadnia, Abdollah Mahdavi · 2023

Context: The number of people with dementia is increasing dramatically. With the outbreak of the COVID-19 pandemic, digital screening tests can play a significant role in the remote and timely detection of people with dementia. This study …

Telemedicine technologies and applications in the era of COVID-19 pandemic: A systematic review Open

Esmaeil Mehraeen, SeyedAhmad SeyedAlinaghi, Mohammad Heydari, Amirali Karimi, Abdollah Mahdavi , et al. · 2023

Introduction Telemedicine services saw substantial surges in their use during the COVID-19 pandemic due to the lockdowns and characteristics of the pandemic. Therefore, the authors aimed to systematically review the telemedicine services p…

Digital Cognitive Tests for Dementia Screening: A Systematic Review Open

Masoud Amanzadeh, Mahnaz Hamedan, Abdollah Mahdavi, Alireza Mohammadnia · 2023

Background: The number of people with dementia is increasing dramatically. With the outbreak of the COVID-19 pandemic, use of digital screening tests can play a significant role in the remote and timely detection of people with dementia. T…

Artificial Intelligence Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review Open

Abdollah Mahdavi, Masoud Amanzadeh, Mahnaz Hamedan, Roya Naemi · 2023

Background: Artificial intelligence (AI) Chatbots are computer programs that simulate human conversation and use artificial intelligence including machine learning and natural language processing to interact with users via natural language…

DETERMINING THE MINIMUM DATA SET OF PATIENT DISCHARGE INFORMATION SYSTEM IN TEACHING HOSPITALS OF ARDABIL UNIVERSITY OF MEDICAL SCIENCES Open

Zohreh Namati, Kamal Ebrahimi, Abdollah Mahdavi, Hadi Lotfnezhad Afshar · 2023

DETERMINING THE MINIMUM DATA SET OF PATIENT DISCHARGE INFORMATION SYSTEM IN TEACHING HOSPITALS OF ARDABIL UNIVERSITY OF MEDICAL SCIENCES

Teledentistry during COVID-19 pandemic: scientometric and content analysis approach Open

Abdollah Mahdavi, Rasha Atlasi, Roya Naemi · 2022

Seroprevalence of Human Toxocariasis in Children (5–15-Year-Old) Using ELISA Method in Ardabil District, North-West of Iran Open

Zahra Heidari, Zahra Alizadeh, Hamid Afzoun Khiyavi, Soheila Molaei, Abdollah Mahdavi , et al. · 2022

Background: Toxocariasis is a worldwide-distributed helminth parasitic infection. This study aimed to evaluate the seroprevalence of human toxocariasis in children living in Ardabil Province, North-West of Iran. Methods: A seroepidemiologi…

Comparison of Two Statistical Models for Predicting Mortality in COVID-19 Patients in Iran Open

Raoof Nopour, Leila Erfannia, Nahid Mehrabi, Mehrnaz Mashoufi, Abdollah Mahdavi , et al. · 2022

Background: Today, the COVID-19 pandemic is ever-increasingly challenging healthcare systems globally with many uncertainties and ambiguities regarding disease behavior and outcome prediction. Thus, machine learning (ML) algorithms could b…

Relationship between Locus of Control and Burnout among Health Information Technology Staffs at University Hospitals in Ardabil Open

Mohammad Mehrtak, Abdollah Mahdavi, Sousan Valizadeh · 2018

Background & objectives: Burnout in addition to physical exhaustion due to work overload or conflicts between people has a psychological origin.The aim of this study was to determine the Locus of Control and Burnout among the employees of …

Explaining the role of organizational culture on succession-planning at the Ministry of Health and Medical Education: A qualitative study Open

Mohammad Mehrtak, Esmaeil Farzaneh, Shahram Habibzadeh, Aziz Kamran, Hamed Zandian , et al. · 2017

Findings of the study show that establishment and institutionalization of the succession planning to the Ministry of Health and Medical Education is deeply affected by the components of organizational culture. Accordingly, unprofessional o…

Assessing the Awareness of Agents Involved in Issuance of Death Certificates About Death Registration Rules in Iran Open

Abdollah Mahdavi, Shahram Sedghi, Farahnaz Sadoghi, Farbod Ebadi Fard Azar · 2015

The awareness of participants about rules on coding death causes and their performance in this field was so satisfactory. That is to say, the awareness of faculty staff and health information management staffs was unexpectedly low. Seeming…

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