Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387568214> ?p ?o ?g. }
- W4387568214 endingPage "jnumed.123.266080" @default.
- W4387568214 startingPage "jnumed.123.266080" @default.
- W4387568214 abstract "The development of artificial intelligence (AI) within nuclear imaging involves several ethically fraught components at different stages of the machine learning pipeline, including during data collection, model training and validation, and clinical use. Drawing on the traditional principles of medical and research ethics, and highlighting the need to ensure health justice, the AI task force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks: privacy of data subjects, data quality and model efficacy, fairness toward marginalized populations, and transparency of clinical performance. We provide preliminary recommendations to developers of AI-driven medical devices for mitigating the impact of these risks on patients and populations." @default.
- W4387568214 created "2023-10-13" @default.
- W4387568214 creator A5001179545 @default.
- W4387568214 creator A5002626470 @default.
- W4387568214 creator A5021438906 @default.
- W4387568214 creator A5024722162 @default.
- W4387568214 creator A5029713359 @default.
- W4387568214 creator A5032425304 @default.
- W4387568214 creator A5050985956 @default.
- W4387568214 creator A5057332201 @default.
- W4387568214 creator A5063981686 @default.
- W4387568214 creator A5079437193 @default.
- W4387568214 creator A5081456414 @default.
- W4387568214 creator A5091261563 @default.
- W4387568214 date "2023-10-12" @default.
- W4387568214 modified "2023-10-14" @default.
- W4387568214 title "Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation" @default.
- W4387568214 cites W1834986685 @default.
- W4387568214 cites W1964589290 @default.
- W4387568214 cites W2147845826 @default.
- W4387568214 cites W2162068690 @default.
- W4387568214 cites W2461848948 @default.
- W4387568214 cites W2605632327 @default.
- W4387568214 cites W2767222949 @default.
- W4387568214 cites W2789970635 @default.
- W4387568214 cites W2884940558 @default.
- W4387568214 cites W2888967035 @default.
- W4387568214 cites W2899768131 @default.
- W4387568214 cites W2900081888 @default.
- W4387568214 cites W2902005226 @default.
- W4387568214 cites W2912352469 @default.
- W4387568214 cites W2931693521 @default.
- W4387568214 cites W2953532875 @default.
- W4387568214 cites W2963852062 @default.
- W4387568214 cites W2977514150 @default.
- W4387568214 cites W2981869278 @default.
- W4387568214 cites W2986224545 @default.
- W4387568214 cites W3012598084 @default.
- W4387568214 cites W3016902347 @default.
- W4387568214 cites W3023069697 @default.
- W4387568214 cites W3033511014 @default.
- W4387568214 cites W3035260924 @default.
- W4387568214 cites W3087892978 @default.
- W4387568214 cites W3100279624 @default.
- W4387568214 cites W3101206394 @default.
- W4387568214 cites W3111485290 @default.
- W4387568214 cites W3137637121 @default.
- W4387568214 cites W3159623667 @default.
- W4387568214 cites W3209261377 @default.
- W4387568214 cites W3217066566 @default.
- W4387568214 cites W4205170775 @default.
- W4387568214 cites W4206154777 @default.
- W4387568214 cites W4211176385 @default.
- W4387568214 cites W4225323865 @default.
- W4387568214 cites W4232662418 @default.
- W4387568214 cites W4282922560 @default.
- W4387568214 cites W4321611236 @default.
- W4387568214 cites W4386135236 @default.
- W4387568214 cites W4387236452 @default.
- W4387568214 doi "https://doi.org/10.2967/jnumed.123.266080" @default.
- W4387568214 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37827839" @default.
- W4387568214 hasPublicationYear "2023" @default.
- W4387568214 type Work @default.
- W4387568214 citedByCount "0" @default.
- W4387568214 crossrefType "journal-article" @default.
- W4387568214 hasAuthorship W4387568214A5001179545 @default.
- W4387568214 hasAuthorship W4387568214A5002626470 @default.
- W4387568214 hasAuthorship W4387568214A5021438906 @default.
- W4387568214 hasAuthorship W4387568214A5024722162 @default.
- W4387568214 hasAuthorship W4387568214A5029713359 @default.
- W4387568214 hasAuthorship W4387568214A5032425304 @default.
- W4387568214 hasAuthorship W4387568214A5050985956 @default.
- W4387568214 hasAuthorship W4387568214A5057332201 @default.
- W4387568214 hasAuthorship W4387568214A5063981686 @default.
- W4387568214 hasAuthorship W4387568214A5079437193 @default.
- W4387568214 hasAuthorship W4387568214A5081456414 @default.
- W4387568214 hasAuthorship W4387568214A5091261563 @default.
- W4387568214 hasConcept C118552586 @default.
- W4387568214 hasConcept C126086293 @default.
- W4387568214 hasConcept C127413603 @default.
- W4387568214 hasConcept C133462117 @default.
- W4387568214 hasConcept C139621336 @default.
- W4387568214 hasConcept C144024400 @default.
- W4387568214 hasConcept C154945302 @default.
- W4387568214 hasConcept C15744967 @default.
- W4387568214 hasConcept C17744445 @default.
- W4387568214 hasConcept C199360897 @default.
- W4387568214 hasConcept C199539241 @default.
- W4387568214 hasConcept C2522767166 @default.
- W4387568214 hasConcept C2780233690 @default.
- W4387568214 hasConcept C2986663376 @default.
- W4387568214 hasConcept C36289849 @default.
- W4387568214 hasConcept C38652104 @default.
- W4387568214 hasConcept C41008148 @default.
- W4387568214 hasConcept C43521106 @default.
- W4387568214 hasConcept C55587333 @default.
- W4387568214 hasConceptScore W4387568214C118552586 @default.
- W4387568214 hasConceptScore W4387568214C126086293 @default.