AIMC Topic: Education, Medical

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Artificial intelligence in medical education.

Medical teacher
Artificial intelligence (AI) is a growing phenomenon, and will soon facilitate wide-scale changes in many professions, including medical education. In order for medical educators to be properly prepared for AI, they will need to have at least a funda...

The association between deep learning approach and case based learning.

BMC medical education
Being medical students, and having experienced different learning approaches ourselves, here, we discuss and critically analyse the importance of the deep learning approach that Chonkar et al. have presented, alongside emphasizing Case Based Learning...

Emerging Roles of Virtual Patients in the Age of AI.

AMA journal of ethics
Today's web-enabled and virtual approach to medical education is different from the 20th century's Flexner-dominated approach. Now, lectures get less emphasis and more emphasis is placed on learning via early clinical exposure, standardized patients,...

Reimagining Medical Education in the Age of AI.

AMA journal of ethics
Available medical knowledge exceeds the organizing capacity of the human mind, yet medical education remains based on information acquisition and application. Complicating this information overload crisis among learners is the fact that physicians' s...

How to Prepare Prospective Psychiatrists in the Era of Artificial Intelligence.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry

A Review of Natural Language Processing in Medical Education.

The western journal of emergency medicine
Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical education...

Fluid and electrolyte balance-establishing the knowledge base of Foundation Year One doctors.

Irish journal of medical science
BACKGROUND: Fluid and electrolyte management for hospital inpatients has been identified by multiple reports to be suboptimal, with delegation of this task to the most junior members of a medical team, Foundation Year One (FY1) doctors, also known as...

Master clinical medical knowledge at certificated-doctor-level with deep learning model.

Nature communications
Mastering of medical knowledge to human is a lengthy process that typically involves several years of school study and residency training. Recently, deep learning algorithms have shown potential in solving medical problems. Here we demonstrate master...

Microanalysis of video from a robotic surgical procedure: implications for observational learning in the robotic environment.

Journal of robotic surgery
Without haptic feedback, robotic surgeons rely on visual processing to interpret the operative field. To provide guidance for teaching in this environment, we analyzed intracorporeal actions and behaviors of a robotic surgeon. Six hours of video were...