AIMC Topic: Education, Medical, Undergraduate
Clear Filters Showing 51 to 60 of 72 articles
Knowledge, attitude, and perception of Arab medical students towards artificial intelligence in medicine and radiology: A multi-national cross-sectional study.
European radiology
Dec 27, 2023
OBJECTIVES: We aimed to assess undergraduate medical students' knowledge, attitude, and perception regarding artificial intelligence (AI) in medicine.
Automated grading of anatomical objective structured practical examinations using decision trees: An artificial intelligence approach.
Anatomical sciences education
Jun 15, 2023
An Objective Structured Practical Examination (OSPE) is an effective and robust, but resource-intensive, means of evaluating anatomical knowledge. Since most OSPEs employ short answer or fill-in-the-blank style questions, the format requires many peo...
Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study.
BMC medical education
Nov 28, 2022
BACKGROUND: Emerging artificial intelligence (AI) technologies have diverse applications in medicine. As AI tools advance towards clinical implementation, skills in how to use and interpret AI in a healthcare setting could become integral for physici...
Robotic simulation experience in undergraduate medical education: a perspective.
Journal of robotic surgery
Mar 3, 2020
Robotic surgery has been one of the most revolutionary advancements in surgery, and demand is anticipated to grow. The performance of robotic surgery has seen an exponential increase in recent years. This is largely due to the benefits offered by rob...
Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review.
BMC medical education
Dec 11, 2019
BACKGROUND: Medical education must adapt to different health care contexts, including digitalized health care systems and a digital generation of students in a hyper-connected world. The aims of this study are to identify and synthesize the values th...
DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Providing medical trainees with effective feedback is critical to the successful development of their diagnostic reasoning skills. We present the design of DrKnow, a web-based learning application that utilises a clinical decision support system (CDS...
Medical students' attitude towards artificial intelligence: a multicentre survey.
European radiology
Jul 6, 2018
OBJECTIVES: To assess undergraduate medical students' attitudes towards artificial intelligence (AI) in radiology and medicine.
Conventional Laparoscopic vs Robotic Training: Which is Better for Naive Users? A Randomized Prospective Crossover Study.
Journal of surgical education
Feb 14, 2015
OBJECTIVE: Robotic training (RT) using the da Vinci skills simulator and conventional training (CT) using a laparoscopic "training box" are both used to augment operative skills in minimally invasive surgery. The current study tests the hypothesis th...
An effective repetitive training schedule to achieve skill proficiency using a novel robotic virtual reality simulator.
Journal of surgical education
Dec 4, 2014
PURPOSE: A robotic virtual reality simulator (Mimic dV-Trainer) can be a useful training method for the da Vinci surgical system. Herein, we investigate several repetitive training schedules and determine which is the most effective.
Chatbots' Role in Generating Single Best Answer Questions for Undergraduate Medical Student Assessment: Comparative Analysis.
JMIR medical education
May 30, 2025
BACKGROUND: Programmatic assessment supports flexible learning and individual progression but challenges educators to develop frequent assessments reflecting different competencies. The continuous creation of large volumes of assessment items, in a c...
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