AIMC Topic: Education, Medical

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Comparison of ChatGPT-4, Copilot, Bard and Gemini Ultra on an Otolaryngology Question Bank.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery
OBJECTIVE: To compare the performance of Google Bard, Microsoft Copilot, GPT-4 with vision (GPT-4) and Gemini Ultra on the OTO Chautauqua, a student-created, faculty-reviewed otolaryngology question bank.

An Overview of Generative Artificial Intelligence in Medical Education.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
The application of generative artificial intelligence (GAI) in medical education and practice has garnered increasing attention, particularly its significant potential to enhance personalised learning and clinical training. This viewpoint explores th...

Artificial Intelligence Use in Medical Education: Best Practices and Future Directions.

Current urology reports
PURPOSEOF REVIEW: This review examines the various ways artificial intelligence (AI) has been utilized in medical education (MedEd)and presents ideas that will ethically and effectively leverage AI in enhancing the learning experience of medical trai...

Challenging cases of hyponatremia incorrectly interpreted by ChatGPT.

BMC medical education
BACKGROUND: In clinical medicine, the assessment of hyponatremia is frequently required but also known as a source of major diagnostic errors, substantial mismanagement, and iatrogenic morbidity. Because artificial intelligence techniques are efficie...

Artificial Intelligence in Narrative Feedback Analysis for Competency-Based Medical Education: A Review.

Studies in health technology and informatics
Competency-Based Medical Education (CBME) generates large volumes of qualitative data in the form of narrative feedback. Traditional qualitative analysis methods face limitations in managing this data's scale and complexity. This review explores the ...

Understanding the gap: a balanced multi-perspective approach to defining essential digital health competencies for medical graduates.

BMC medical education
BACKGROUND: Rapid technological advancements have left medical graduates potentially underprepared for the digital healthcare environment. Despite the importance of digital health education, consensus on essential primary medical degree content is la...

Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study.

Journal of medical Internet research
In this secondary analysis of a multinational Delphi study, experts from low- and middle-income countries were less likely than those from high-income countries to consider artificial intelligence (AI) learning outcomes mandatory in preregistration m...

Designing Personalized Multimodal Mnemonics With AI: A Medical Student's Implementation Tutorial.

JMIR medical education
BACKGROUND: Medical education can be challenging for students as they must manage vast amounts of complex information. Traditional mnemonic resources often follow a standardized approach, which may not accommodate diverse learning styles.

Development of an Interactive Online Course on Artificial Intelligence in Medicine: A Study on Design and Implementation.

Studies in health technology and informatics
As artificial intelligence (AI) becomes increasingly influential in healthcare, there is a pressing need for medical professionals to gain a comprehensive understanding of its applications, particularly in complex areas such as rare diseases, where d...

Artificial Intelligence in Medical Education.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
OBJECTIVE: To explore the understanding of medical students regarding the integration of AI in medical education.