Artificial intelligence and active learning methodologies in the training of future general surgeons: A comprehensive review
1 Institute of Teaching, Research, and Innovation, Liga Contra o Câncer – Natal – Brazil.
2 Postgraduate Program in Biotechnology at Potiguar University, Potiguar University (UnP) – Natal/RN - Brazil.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(01), 2870–2881
Publication history:
Received on 17 June 2024; revised on 28 July 2024; accepted on 30 July 2024
Abstract:
This review explores the merging of Artificial Intelligence (AI) with active learning methods like Problem-Based Learning (PBL) and Team-Based Learning (TBL) in the training of future general surgeons. AI technologies, including virtual and augmented reality, offer realistic simulations and interactive environments that can improve surgical training in general surgery residencies. These technologies support PBL and TBL by providing real-time data processing, facilitating problem-solving scenarios, and creating collaborative learning environments that enhance decision-making skills and clinical judgment. AI-powered tools personalize the learning process, adapt to various learner competencies, and optimize educational outcomes. This integration prepares residents with advanced technical skills and cultivates essential soft skills such as teamwork and problem-solving, which are critical in the multidisciplinary nature of surgical care. The implementation of AI in surgical education faces some challenges, such as high initial costs, potential resistance from traditional educators, and ethical concerns regarding data privacy and the dehumanization of education. However, the potential long-term benefits, such as increased efficiency, reduced training costs, and enhanced procedural proficiency, strongly argue for incorporating AI in surgical education. This synthesis promises to significantly reshape how surgical education is delivered, making it more efficient, scalable, and effective in preparing surgeons for the demands of contemporary healthcare environments.
Keywords:
Artificial Intelligence; Education; Medical; Problem Based Learning; Team Based Learning; Medical Residency; General Surgery.
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0