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Explainable AI for Prostate MRI: Don’t Trust, Verify

医学 梅德林 人工智能 图书馆学 计算机科学 法学 政治学
作者
Julius Chapiro
出处
期刊:Radiology [Radiological Society of North America]
卷期号:307 (4) 被引量:1
标识
DOI:10.1148/radiol.230574
摘要

HomeRadiologyVol. 307, No. 4 PreviousNext Reviews and CommentaryEditorialExplainable AI for Prostate MRI: Don’t Trust, VerifyJulius Chapiro Julius Chapiro Author AffiliationsFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 789 Howard Ave, CB363H, New Haven, CT 06519.Address correspondence to the author (email: [email protected]).Julius Chapiro Published Online:Apr 11 2023https://doi.org/10.1148/radiol.230574MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Muehlematter UJ, Daniore P, Vokinger KN. Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis. Lancet Digit Health 2021;3(3):e195–e203. Crossref, Medline, Google Scholar2. Park SH, Han K, Jang HY, et al. Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis. Radiology 2023;306(1):20–31. Link, Google Scholar3. Aristidou A, Jena R, Topol EJ. Bridging the chasm between AI and clinical implementation. Lancet 2022;399(10325):620. Crossref, Medline, Google Scholar4. Reyes M, Meier R, Pereira S, et al. On the interpretability of artificial intelligence in radiology: challenges and opportunities. Radiol Artif Intell 2020;2(3):e190043. Link, Google Scholar5. Cutillo CM, Sharma KR, Foschini L, Kundu S, Mackintosh M, Mandl KD; MI in Healthcare Workshop Working Group. Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparency. NPJ Digit Med 2020;3(1):47. Crossref, Medline, Google Scholar6. Hamon R, Junklewitz H, Sanchez I, Malgieri G, De Hert P. Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making. IEEE Comput Intell Mag 2022;17(1):72–85. Crossref, Google Scholar7. Reddy S. Explainability and artificial intelligence in medicine. Lancet Digit Health 2022;4(4):e214–e215. Crossref, Medline, Google Scholar8. Hamm CA, Baumgartner GL, Biessmann F, et al. Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI. Radiology 2023;307(4):e222276. Link, Google Scholar9. Bluemke DA, Moy L, Bredella MA, et al. Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board. Radiology 2020. https://doi.org/10.1148/radiol.2019192515. Published online December 31, 2019. Link, Google Scholar10. Padhani AR, Barentsz J, Villeirs G, et al. PI-RADS steering committee: the PI-RADS multiparametric MRI and MRI-directed biopsy pathway. Radiology 2019;292(2):464–474. Link, Google ScholarArticle HistoryReceived: Mar 6 2023Revision requested: Mar 10 2023Revision received: Mar 10 2023Accepted: Mar 14 2023Published online: Apr 11 2023 FiguresReferencesRelatedDetailsAccompanying This ArticleInteractive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRIApr 11 2023RadiologyRecommended Articles Segmentation of the Prostate Transition Zone and Peripheral Zone on MR Images with Deep LearningRadiology: Imaging Cancer2021Volume: 3Issue: 3Better Image Quality for Diffusion-weighted MRI of the Prostate Using Deep LearningRadiology2022Volume: 303Issue: 2pp. 382-383Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant CancersRadiology2016Volume: 280Issue: 1pp. 108-116Prostate Tissue Microstructural Estimates Using Time-Dependent Diffusion MRIRadiology2022Volume: 303Issue: 3pp. 588-589Prospective Validation of MRI Signal Abnormalities and Clinically Significant CancerRadiology2022Volume: 307Issue: 1See More RSNA Education Exhibits Prostate Cancer: What We Already Know About What Is on the HorizonDigital Posters2020Imaging Biomarkers Relevant For Prostate Cancer Management: Clinical DevelopmentDigital Posters2021Overcoming Data Shift: The Challenge To Translating AI To Clinical PracticeDigital Posters2021 RSNA Case Collection Peripheral Zone Prostate Cancer with PseudocapsuleRSNA Case Collection2022Anterior transition zone prostate adenocarcinomaRSNA Case Collection2020Locally advanced, metastatic prostate adenocarcinomaRSNA Case Collection2020 Vol. 307, No. 4 Metrics Altmetric Score PDF download
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