Journal article
Ethical considerations for artificial intelligence in medical imaging:Data collection, development, and evaluation
The Journal of nuclear medicine : JNM, Vol.64(12), pp.1848-1854
12/2023
DOI: 10.2967/jnumed.123.266080
PMCID: PMC10690124
PMID: 37827839
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 andMolecular Imaging has identified 4major ethical risks: privacy of data subjects, data quality andmodel efficacy, fairness towardmarginalized 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.
Details
- Title: Subtitle
- Ethical considerations for artificial intelligence in medical imaging:Data collection, development, and evaluation
- Creators
- Jonathan Herington - University of RochesterMelissa D McCradden - University of TorontoKathleen Creel - Northeastern UniversityRonald Boellaard - Amsterdam University Medical CentersElizabeth C Jones - National Institutes of Health Clinical CenterAbhinav K Jha - Washington University in St. LouisArman Rahmim - University of British ColumbiaPeter J. H Scott - University of MichiganJohn J Sunderland - University of IowaRichard L Wahl - Washington University in St. LouisSven ZuehlsdorffBabak Saboury - National Institutes of Health Clinical Center
- Resource Type
- Journal article
- Publication Details
- The Journal of nuclear medicine : JNM, Vol.64(12), pp.1848-1854
- DOI
- 10.2967/jnumed.123.266080
- PMID
- 37827839
- PMCID
- PMC10690124
- NLM abbreviation
- J Nucl Med
- ISSN
- 0161-5505
- eISSN
- 1535-5667
- Publisher
- SOC NUCLEAR MEDICINE INC
- Grant note
- SickKids FoundationNIH: R01EB031051-02S1
Melissa McCradden acknowledges funding from the SickKids Foundation pertaining to her role as the John and Melinda Thompson Director of AI in Medicine at the Hospital for Sick Children. Abhinav Jha acknowledges support from NIH R01EB031051-02S1. Sven Zuehlsdorff is a full-time employee of Siemens Medical Solutions USA, Inc. No other potential conflict of interest relevant to this article was reported.
- Language
- English
- Date published
- 12/2023
- Academic Unit
- Radiology; Physics and Astronomy; Radiation Oncology
- Record Identifier
- 9984793979002771
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