Jonathan Herington, Melissa D McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C Jones, Abhinav K Jha, Arman Rahmim, Peter J H Scott, John J Sunderland, Richard L Wahl, Sven Zuehlsdorff, Babak Saboury
{"title":"医学成像中人工智能的伦理考量:部署和治理。","authors":"Jonathan Herington, Melissa D McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C Jones, Abhinav K Jha, Arman Rahmim, Peter J H Scott, John J Sunderland, Richard L Wahl, Sven Zuehlsdorff, Babak Saboury","doi":"10.2967/jnumed.123.266110","DOIUrl":null,"url":null,"abstract":"<p><p>The deployment of artificial intelligence (AI) has the potential to make nuclear medicine and medical imaging faster, cheaper, and both more effective and more accessible. This is possible, however, only if clinicians and patients feel that these AI medical devices (AIMDs) are trustworthy. Highlighting the need to ensure health justice by fairly distributing benefits and burdens while respecting individual patients' rights, the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks that arise during the deployment of AIMD: autonomy of patients and clinicians, transparency of clinical performance and limitations, fairness toward marginalized populations, and accountability of physicians and developers. We provide preliminary recommendations for governing these ethical risks to realize the promise of AIMD for patients and populations.</p>","PeriodicalId":16758,"journal":{"name":"Journal of Nuclear Medicine","volume":" ","pages":"1509-1515"},"PeriodicalIF":9.1000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance.\",\"authors\":\"Jonathan Herington, Melissa D McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C Jones, Abhinav K Jha, Arman Rahmim, Peter J H Scott, John J Sunderland, Richard L Wahl, Sven Zuehlsdorff, Babak Saboury\",\"doi\":\"10.2967/jnumed.123.266110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The deployment of artificial intelligence (AI) has the potential to make nuclear medicine and medical imaging faster, cheaper, and both more effective and more accessible. This is possible, however, only if clinicians and patients feel that these AI medical devices (AIMDs) are trustworthy. Highlighting the need to ensure health justice by fairly distributing benefits and burdens while respecting individual patients' rights, the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks that arise during the deployment of AIMD: autonomy of patients and clinicians, transparency of clinical performance and limitations, fairness toward marginalized populations, and accountability of physicians and developers. We provide preliminary recommendations for governing these ethical risks to realize the promise of AIMD for patients and populations.</p>\",\"PeriodicalId\":16758,\"journal\":{\"name\":\"Journal of Nuclear Medicine\",\"volume\":\" \",\"pages\":\"1509-1515\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nuclear Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2967/jnumed.123.266110\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nuclear Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2967/jnumed.123.266110","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance.
The deployment of artificial intelligence (AI) has the potential to make nuclear medicine and medical imaging faster, cheaper, and both more effective and more accessible. This is possible, however, only if clinicians and patients feel that these AI medical devices (AIMDs) are trustworthy. Highlighting the need to ensure health justice by fairly distributing benefits and burdens while respecting individual patients' rights, the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks that arise during the deployment of AIMD: autonomy of patients and clinicians, transparency of clinical performance and limitations, fairness toward marginalized populations, and accountability of physicians and developers. We provide preliminary recommendations for governing these ethical risks to realize the promise of AIMD for patients and populations.
期刊介绍:
The Journal of Nuclear Medicine (JNM), self-published by the Society of Nuclear Medicine and Molecular Imaging (SNMMI), provides readers worldwide with clinical and basic science investigations, continuing education articles, reviews, employment opportunities, and updates on practice and research. In the 2022 Journal Citation Reports (released in June 2023), JNM ranked sixth in impact among 203 medical journals worldwide in the radiology, nuclear medicine, and medical imaging category.