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医学人工智能的伦理问题。

Ethics of artificial intelligence in medicine.

机构信息

Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Oxford Uehiro Centre for Practical Ethics, University of Oxford, Oxford, UK.

出版信息

Singapore Med J. 2024 Mar 1;65(3):150-158. doi: 10.4103/singaporemedj.SMJ-2023-279. Epub 2024 Mar 26.

DOI:10.4103/singaporemedj.SMJ-2023-279
PMID:38527299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7615805/
Abstract

This article reviews the main ethical issues that arise from the use of artificial intelligence (AI) technologies in medicine. Issues around trust, responsibility, risks of discrimination, privacy, autonomy, and potential benefits and harms are assessed. For better or worse, AI is a promising technology that can revolutionise healthcare delivery. It is up to us to make AI a tool for the good by ensuring that ethical oversight accompanies the design, development and implementation of AI technology in clinical practice.

摘要

本文回顾了人工智能(AI)技术在医学应用中引发的主要伦理问题。评估了围绕信任、责任、歧视风险、隐私、自主权以及潜在的利益和危害等问题。无论好坏,人工智能都是一种有前途的技术,可以彻底改变医疗保健的提供方式。通过确保在临床实践中设计、开发和实施人工智能技术时进行伦理监督,我们有责任使人工智能成为一种有益的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53cc/11060642/2e295a864a68/SMJ-65-150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53cc/11060642/2e295a864a68/SMJ-65-150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53cc/11060642/2e295a864a68/SMJ-65-150-g001.jpg

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PLOS Digit Health. 2024 Apr 17;3(4):e0000341. doi: 10.1371/journal.pdig.0000341. eCollection 2024 Apr.
2
A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable.用于医疗保健中替代判断的个性化患者偏好预测器:技术上可行且伦理上可取。
Am J Bioeth. 2024 Jul;24(7):13-26. doi: 10.1080/15265161.2023.2296402. Epub 2024 Jan 16.
3
Consent-GPT: is it ethical to delegate procedural consent to conversational AI?
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4
Ethical and Practical Dimensions of Artificial Intelligence (AI) in Healthcare: A Comprehensive Study of Professional Perceptions.医疗保健领域人工智能(AI)的伦理与实践维度:专业认知的综合研究
Cureus. 2025 Feb 3;17(2):e78416. doi: 10.7759/cureus.78416. eCollection 2025 Feb.
5
Classification of periodontitis stage and grade using natural language processing techniques.使用自然语言处理技术对牙周炎的分期和分级进行分类。
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7
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5
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Collective Reflective Equilibrium in Practice (CREP) and controversial novel technologies.实践中的集体反思平衡(CREP)与有争议的新技术。
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BMJ Open. 2020 Dec 8;10(12):e045593. doi: 10.1136/bmjopen-2020-045593.