AIMC Topic: Internship and Residency

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Applications of Artificial Intelligence in Neurosurgery for Improving Outcomes Through Diagnostics, Predictive Tools, and Resident Education.

World neurosurgery
BACKGROUND: Artificial intelligence (AI) has become an increasingly prominent tool in the field of neurosurgery, revolutionizing various aspects of patient care and surgical practices. AI-powered systems can provide real-time feedback to surgeons, en...

Utilization and perception of generative artificial intelligence by medical students in residency applications.

Journal of investigative medicine : the official publication of the American Federation for Clinical Research
After completing medical school in the United States, most students apply to residency programs to progress in their training. The residency application process contains numerous writing sections, including the personal statement, curriculum vitae, a...

Artificial intelligence versus neurologists: A comparative study on multiple sclerosis expertise.

Clinical neurology and neurosurgery
INTRODUCTION: Multiple sclerosis (MS) is an autoimmune neurodegenerative disease affecting the central nervous system. MS diagnosis is complex, requiring magnetic resonance imaging and cerebrospinal fluid analysis due to the lack of definitive biomar...

AI-powered standardised patients: evaluating ChatGPT-4o's impact on clinical case management in intern physicians.

BMC medical education
BACKGROUND: Artificial Intelligence is currently being applied in healthcare for diagnosis, decision-making and education. ChatGPT-4o, with its advanced language and problem-solving capabilities, offers an innovative alternative as a virtual standard...

Artificial intelligence and the education of future surgeons.

American journal of surgery
Artificial intelligence (AI) has the potential to reshape surgical education by enabling personalized feedback, advanced competency evaluations, and enhancing resident selection processes. Through AI-driven simulations and real-time feedback systems,...

Differentiating between GPT-generated and human-written feedback for radiology residents.

Current problems in diagnostic radiology
PURPOSE: Recent competency-based medical education (CBME) implementation within Canadian radiology programs has required faculty to conduct more assessments. The rise of narrative feedback in CBME, coinciding with the rise of large language models (L...

Artificial intelligence in orthopedic research assistance: a resident's perspective.

Musculoskeletal surgery
Artificial intelligence (AI) is transforming orthopedic research by optimizing academic workflows, improving evidence synthesis, and expanding access to advanced data analysis tools. Generative AI models such as ChatGPT and GPT-4, alongside specializ...

Exploring the significance of medical humanities in shaping internship performance: insights from curriculum categories.

Medical education online
BACKGROUND: Medical Humanities (MH) curricula integrate humanities disciplines into medical education to nurture essential qualities in future physicians. However, the impact of MH on clinical competencies during formative training phases remains und...

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...