AIMC Topic: Education, Medical
Clear Filters Showing 171 to 180 of 255 articles
Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks.
Sensors (Basel, Switzerland)
Jul 13, 2019
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system c...
Utilizing hybrid functional fuzzy wavelet neural networks with a teaching learning-based optimization algorithm for medical disease diagnosis.
Computers in biology and medicine
Jul 7, 2019
Accurate medical disease diagnosis is considered to be an important classification problem. The main goal of the classification process is to determine the class to which a certain pattern belongs. In this article, a new classification technique base...
What should medical students know about artificial intelligence in medicine?
Journal of educational evaluation for health professions
Jul 3, 2019
Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical prof...
MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.
Journal of medical systems
May 23, 2019
Dialogue-based simulation is a real-world practice technique for medical and clinical education that provides students with an opportunity to train using hands-on experiences without putting actual patients being put at risk. In this paper, a 3D inte...
Artificial intelligence in medical education.
Medical teacher
Apr 21, 2019
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
Apr 11, 2019
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
Feb 1, 2019
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
Feb 1, 2019
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
Jan 18, 2019
A Review of Natural Language Processing in Medical Education.
The western journal of emergency medicine
Dec 12, 2018
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...
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