{"title":"La regulación legal de la inteligencia artificial en la Unión Europea: guía práctica para radiólogos","authors":"","doi":"10.1016/j.rx.2023.11.008","DOIUrl":null,"url":null,"abstract":"<div><p>The European Union is taking the lead globally on the regulation of Artificial Intelligence (AI) and developing important legislation, namely the AI Act. The purpose of this article is to describe this regulation and examine three implications that will affect radiologists. In relation to the ‘risk approach’, AI applications in radiology will be classified as high risk, thus necessitating compliance with a series of requirements and obligations. Secondly, ‘effective radiologist supervision’ involves establishing supervision-automation levels, defining an appropriate degree of authority, and determining how AI recommendations will be documented in the radiological report. Finally, this article examines the different forms of ‘legal liability’ that radiologists may incur in the event of a diagnostic error made by combined radiologist-artificial intelligence.</p></div>","PeriodicalId":31509,"journal":{"name":"RADIOLOGIA","volume":"66 5","pages":"Pages 431-446"},"PeriodicalIF":1.1000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"RADIOLOGIA","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033833824000043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
The European Union is taking the lead globally on the regulation of Artificial Intelligence (AI) and developing important legislation, namely the AI Act. The purpose of this article is to describe this regulation and examine three implications that will affect radiologists. In relation to the ‘risk approach’, AI applications in radiology will be classified as high risk, thus necessitating compliance with a series of requirements and obligations. Secondly, ‘effective radiologist supervision’ involves establishing supervision-automation levels, defining an appropriate degree of authority, and determining how AI recommendations will be documented in the radiological report. Finally, this article examines the different forms of ‘legal liability’ that radiologists may incur in the event of a diagnostic error made by combined radiologist-artificial intelligence.
RADIOLOGIARADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.60
自引率
7.70%
发文量
105
审稿时长
52 days
期刊介绍:
La mejor revista para conocer de primera mano los originales más relevantes en la especialidad y las revisiones, casos y notas clínicas de mayor interés profesional. Además es la Publicación Oficial de la Sociedad Española de Radiología Médica.