AIMC Topic: Education, Medical, Graduate

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Residency Application Selection Committee Discriminatory Ability in Identifying Artificial Intelligence-Generated Personal Statements.

Journal of surgical education
OBJECTIVE: Advances in artificial intelligence (AI) have given rise to sophisticated algorithms capable of generating human-like text. The goal of this study was to evaluate the ability of human reviewers to reliably differentiate personal statements...

Effectiveness of AI-powered Chatbots in responding to orthopaedic postgraduate exam questions-an observational study.

International orthopaedics
PURPOSE: This study analyses the performance and proficiency of the three Artificial Intelligence (AI) generative chatbots (ChatGPT-3.5, ChatGPT-4.0, Bard Google AI®) and in answering the Multiple Choice Questions (MCQs) of postgraduate (PG) level or...

Performance of Two Artificial Intelligence Generative Language Models on the Orthopaedic In-Training Examination.

Orthopedics
BACKGROUND: Artificial intelligence (AI) generative large language models are powerful and increasingly accessible tools with potential applications in health care education and training. The annual Orthopaedic In-Training Examination (OITE) is widel...

Could ChatGPT Pass the UK Radiology Fellowship Examinations?

Academic radiology
RATIONALE AND OBJECTIVES: Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) tool which utilises machine learning to generate original text resembling human language. AI models have recently demonstrated remarkable a...

Identifying barriers to resident robotic console time in a general surgery residency through a targeted needs assessment.

Journal of robotic surgery
Robotic-assisted general surgery is experiencing exponential growth. Despite our institution's high volume, residents often graduate with inadequate console experience. Our aim was to identify the educational needs of residents and perceived barriers...

Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary study.

Wiener medizinische Wochenschrift (1946)
OBJECTIVE: This study aimed to discuss the application value of an artificial intelligence-based diagnosis and recognition system (AIDRS) in the teaching activities for Bachelor of Medicine and Bachelor of Surgery (MBBS) in China. The learning perfor...

ChatGPT versus human in generating medical graduate exam multiple choice questions-A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom).

PloS one
INTRODUCTION: Large language models, in particular ChatGPT, have showcased remarkable language processing capabilities. Given the substantial workload of university medical staff, this study aims to assess the quality of multiple-choice questions (MC...