AIMC Topic: Education, Medical

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The effect of robotic telerounding in the surgical intensive care units impact on medical education.

Journal of robotic surgery
Robotic telerounding is effective from the standpoint of patients' satisfaction and patients' care in teaching and community hospitals. However, the impact of robotic telerounding by the intensivist rounding remotely in the surgical intensive care un...

Learning curve for robotic-assisted surgery for rectal cancer: use of the cumulative sum method.

Surgical endoscopy
BACKGROUND: Few data are available to assess the learning curve for robotic-assisted surgery for rectal cancer. The aim of the present study was to evaluate the learning curve for robotic-assisted surgery for rectal cancer by a surgeon at a single in...

Integrating Artificial Intelligence in the Medical Curriculum: Approaches and Strategies.

Studies in health technology and informatics
The integration of Artificial Intelligence in Medicine (AIM) into medical curricula has become essential, yet it presents challenges in balancing theoretical concepts with practical applications. This paper details the development, implementation, an...

[From the integration of the internet and medicine to the synergy of artificial intelligence and medicine: my perspective on "future medicine" and the development of medical education].

Zhonghua yi xue za zhi
On the occasion of the 110th anniversary of the Chinese Medical Association, this article reflects on the author's over six decades of experience in medical education, including leadership roles as president and dean at multiple medical schools, shar...

AI-Powered Problem- and Case-based Learning in Medical and Dental Education: A Systematic Review and Meta-analysis.

International dental journal
INTRODUCTION AND AIMS: Advances in artificial intelligence (AI) technology have generated a revolution in medical and dental education, which may offer promising solutions to tackle the challenges of traditional problem-based learning (PBL) and case-...

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...