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医学导师制的巨大飞跃:探索ChatGPT从教科书到海量数据的转变。

Quantum leap in medical mentorship: exploring ChatGPT's transition from textbooks to terabytes.

作者信息

Chokkakula Santosh, Chong Siomui, Yang Bing, Jiang Hong, Yu Juan, Han Ruiqin, Attitalla Idress Hamad, Yin Chengliang, Zhang Shuyao

机构信息

Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk, Republic of Korea.

Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.

出版信息

Front Med (Lausanne). 2025 Apr 28;12:1517981. doi: 10.3389/fmed.2025.1517981. eCollection 2025.

DOI:10.3389/fmed.2025.1517981
PMID:40375935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12079582/
Abstract

ChatGPT, an advanced AI language model, presents a transformative opportunity in several fields including the medical education. This article examines the integration of ChatGPT into healthcare learning environments, exploring its potential to revolutionize knowledge acquisition, personalize education, support curriculum development, and enhance clinical reasoning. The AI's ability to swiftly access and synthesize medical information across various specialties offers significant value to students and professionals alike. It provides rapid answers to queries on medical theories, treatment guidelines, and diagnostic methods, potentially accelerating the learning curve. The paper emphasizes the necessity of verifying ChatGPT's outputs against authoritative medical sources. A key advantage highlighted is the AI's capacity to tailor learning experiences by assessing individual needs, accommodating diverse learning styles, and offering personalized feedback. The article also considers ChatGPT's role in shaping curricula and assessment techniques, suggesting that educators may need to adapt their methods to incorporate AI-driven learning tools. Additionally, it explores how ChatGPT could bolster clinical problem-solving through AI-powered simulations, fostering critical thinking and diagnostic acumen among students. While recognizing ChatGPT's transformative potential in medical education, the article stresses the importance of thoughtful implementation, continuous validation, and the establishment of protocols to ensure its responsible and effective application in healthcare education settings.

摘要

ChatGPT是一种先进的人工智能语言模型,在包括医学教育在内的多个领域都带来了变革性机遇。本文探讨了将ChatGPT融入医疗学习环境,探究其在彻底改变知识获取、实现教育个性化、支持课程开发以及增强临床推理方面的潜力。人工智能能够迅速获取并综合各个专业的医学信息,这对学生和专业人士都具有重大价值。它能快速回答有关医学理论、治疗指南和诊断方法的问题,有可能加快学习进程。本文强调了对照权威医学资料核实ChatGPT输出内容的必要性。突出的一个关键优势是人工智能有能力通过评估个人需求、适应不同学习风格并提供个性化反馈来定制学习体验。文章还考虑了ChatGPT在塑造课程和评估技术方面的作用,表明教育工作者可能需要调整教学方法以纳入人工智能驱动的学习工具。此外,文章探讨了ChatGPT如何通过人工智能驱动的模拟来加强临床问题解决能力,培养学生的批判性思维和诊断敏锐度。虽然认识到ChatGPT在医学教育中的变革潜力,但本文强调了深思熟虑地实施、持续验证以及建立协议以确保其在医疗教育环境中得到负责任且有效应用的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/745698c545b3/fmed-12-1517981-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/161dfdeae642/fmed-12-1517981-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/1301b9fbaf61/fmed-12-1517981-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/560d66afd612/fmed-12-1517981-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/745698c545b3/fmed-12-1517981-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/161dfdeae642/fmed-12-1517981-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/1301b9fbaf61/fmed-12-1517981-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/560d66afd612/fmed-12-1517981-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9089/12079582/745698c545b3/fmed-12-1517981-g004.jpg

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