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Review
. 2022 Sep 29:2022:10.31478/202209c.
doi: 10.31478/202209c. eCollection 2022.

Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis

Affiliations
Review

Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis

Julia Adler-Milstein et al. NAM Perspect. .
No abstract available

PubMed Disclaimer

Conflict of interest statement

Conflict-of-Interest Disclosures: Jessica Castner discloses receiving grants and fees from the National Institutes of Health, fees from the Emergency Nurses Association, and serving as co-chair of the American Thoracic Society’s Health Policy Committee on Terrorism and Inhalation Disasters section. Barbara Evans discloses receiving grants from the National Institutes of Health. Steven Lin discloses serving as VP of Health Sciences for Codex Health, where he is a paid consultant; and receiving grants administered through Stanford University from Amazon, American Academy of Family Physicians, American Board of Family Medicine, Center for Professionalism and Value in Health Care, DeepScribe, Google Health, Omada Health, Predicta Med, Quadrant Technologies, Soap Health, Society of Teachers of Family Medicine, UCSF, and Verily. Kenneth Mandl discloses that his laboratory receives sponsored research funding from Quest Diagnostics; and that Boston Children’s Hospital receives corporate philanthropic support for his laboratory from SMART Advisory Committee members, which include the American Medical Association, BMJ Group, Eli Lilly and Company, Google Cloud, Hospital Corporation of America, Microsoft, Optum, Cambia Health Solutions, Quest Diagnostics, and Humana. Mark Sendak discloses that he is co-inventor of technology licensed from Duke University to Cohere Med, Inc and Clinetic, Inc.; and that he holds equity in Clinetic, Inc. Carmel Shachar discloses that she is a member of Advarra’s Institutional Research Board.

Figures

FIGURE 1
FIGURE 1. Levels of Automation of Medical Artificial Intelligence Systems
SOURCE: Bitterman, D. S., H. J. W. L. Aerts, and R. H. Mak. 2020. Approaching autonomy in medical artificial intelligence. The Lancet Digital Health 2(9):447-449. https://doi.org/10.1016/S2589-7500(20)30187-4. Reprinted with permission under Creative Commons Attribution (CC BY 4.0).
FIGURE 2
FIGURE 2. Core Domains to Support Provider Adoption of AI-DDS Tools
SOURCE: Created by authors.

References

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