AIMC Topic: Education, Medical, Graduate

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AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study.

JMIR medical education
BACKGROUND: As health care moves to a more digital environment, there is a growing need to train future family doctors on the clinical uses of artificial intelligence (AI). However, family medicine training in AI has often been inconsistent or lackin...

Assessing the performance of ChatGPT-4o on the Turkish Orthopedics and Traumatology Board Examination.

Joint diseases and related surgery
OBJECTIVES: This study aims to assess the overall performance of ChatGPT version 4-omni (GPT-4o) on the Turkish Orthopedics and Traumatology Board Examination (TOTBE) using actual examinees as a reference point to evaluate and compare the performance...

Impact of Artificial Intelligence on Gastroenterology Trainee Education.

Gastrointestinal endoscopy clinics of North America
Artificial intelligence (AI) is transforming gastroenterology, particularly in endoscopy, which has a direct impact on trainees and their education. AI can serve as a valuable resource, providing real-time feedback and aiding in tasks like polyp dete...

How to incorporate generative artificial intelligence in nephrology fellowship education.

Journal of nephrology
Traditional nephrology education faces challenges due to expanding medical knowledge, case complexity, and personalized learning needs. Generative artificial intelligence (AI), like ChatGPT, offers potential solutions to enhance nephrology education ...

Artificial Intelligence-Generated Writing in the ERAS Personal Statement: An Emerging Quandary for Post-graduate Medical Education.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry
OBJECTIVE: This study was designed to investigate if artificial intelligence (AI) detection software can determine the use of AI in personal statements for residency applications.

Artificial Intelligence Compared to Manual Selection of Prospective Surgical Residents.

Journal of surgical education
BACKGROUND: Artificial Intelligence (AI) in the selection of residency program applicants is a new tool that is gaining traction, with the aim of screening high numbers of applicants while introducing objectivity and mitigating bias in a traditionall...

Accuracy of large language models in answering ophthalmology board-style questions: A meta-analysis.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
PURPOSE: To evaluate the accuracy of large language models (LLMs) in answering ophthalmology board-style questions.

The Film Room: Using Artificial Intelligence to Facilitate Video Review for Urology Trainees.

Journal of surgical education
Video-based educational programs offer a promising avenue to augment surgical preparation, allow for targeted feedback delivery, and facilitate surgical coaching. Recently, developments in surgical intelligence and computer vision have allowed for au...

Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases.

The British journal of ophthalmology
BACKGROUND/AIMS: This study assesses the proficiency of Generative Pre-trained Transformer (GPT)-4 in answering questions about complex clinical ophthalmology cases.

Performance of ChatGPT and Bard on the official part 1 FRCOphth practice questions.

The British journal of ophthalmology
BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT), a large language model by OpenAI, and Bard, Google's artificial intelligence (AI) chatbot, have been evaluated in various contexts. This study aims to assess these models' proficiency in ...