Jahrom University of Medical Sciences
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence in COVID-19 Management: A Systematic Review
Samaneh Mohammadi, Samaneh Mohammadi, SeyedAhmad SeyedAlinaghi et al.
2023 · 33 Zit.
Matters arising: authors of research papers must cautiously use ChatGPT for scientific writing
Arman Shafiee
2023 · 12 Zit.
The Current Progress of Artificial Intelligence in Approach to Thyroid Nodules: A Narrative Review
Parsa Yazdanpanahi, Farnaz Atighi, Alireza Keshtkar et al.
2024 · 6 Zit.
Systematic review of ChatGPT accuracy and performance in Iran’s medical licensing exams: A brief report
Alireza Keshtkar, Farnaz Atighi, Hamid Reihani
2024 · 6 Zit.
The application of artificial intelligence in the diagnosis and management of anemia
Sabahat Haghi, Reza Arjmand, Omid Safari
2023 · 2 Zit.
Surgeon Attitudes Toward AI-Enhanced Robotic Surgery: A Survey on Autonomy, Liability, and Skill Erosion
Nikta Taghipour, Ali Mostafavinia, Shahab Hosseini et al.
2025 · 1 Zit.
A machine learning approach for improved resource allocation in COVID-19 ICUs using HRCT scans and clinical data
Shahrzad Sedaghat, Mahdi Nazernejad, Mohammad Sadegh Sanie Jahromi
2025 · 1 Zit.
Developing comprehensive reporting guidelines for machine learning models using tabular data in medical research
Omid Kohandel Gargari
2024 · 1 Zit.
Parsian as a Model for Employing Patient Simulation in the Learning Management System
Shirin Ayani, Khadijeh Moulaei, Ashraf Alimadadi et al.
2018 · 0 Zit.
The Importance of Modification: An Imperative to Incorporate Machine Learning in Medical Education.
F. Javaheri, Nasrin Khajeali
2024 · 0 Zit.
Digital Pathology and Artificial Intelligence for Early Diagnosis of Pediatric Solid Tumors: Implication for Improved Healthcare Strategies
Negar Shaterian, Mohammadamin Jandaghian-Bidgoli, Negin Shaterian et al.
2024 · 0 Zit.
ChatGPT's Performance on Iran's Medical Licensing Exams
Alireza Keshtkar, Ali Asghar Hayat, Farnaz Atighi et al.
2025 · 0 Zit.
Evaluation of Large Language Models in the Clinical Management of Patients With Upper Gastrointestinal Bleeding : Insights From Real-World Patient Data
Mohsen Rajabnia, Farbod Davoodi, Mahsa Hajisafarali et al.
2025 · 0 Zit.