December 17, 2019

Artificial Intelligence in Health Care

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

This Viewpoint summarizes the 2019 AI in Healthcare report from the National Academy of Medicine (NAM), which reviews best practices for AI development, adoption, and maintenance and urges prioritization of equity, inclusion, and human rights in AI health system implementation.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Cite this study

Matheny et al. (Tue,) studied this question.

www.synapsesocial.com/papers/6a02193ebd6301933f5ce862 — DOI: https://doi.org/10.1001/jama.2019.21579

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection· 2018 · 297 citations
Computational Technology for Effective Health Care· 2009 · 281 citations
Potential Liability for Physicians Using Artificial Intelligence· 2019 · 481 citations
Addressing Bias in Artificial Intelligence in Health Care· 2019 · 753 citations
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies· 2018 · 2,440 citations

Authors

Michael E. Matheny

Danielle Whicher

Sonoo Thadaney Israni

Journals

JAMA

Actions

Institutions

Stanford University

Vanderbilt University Medical Center

VA Tennessee Valley Healthcare System

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Artificial Intelligence in Health Care

Puntos clave

Resumen

Citation Network

Connected Papers

Discussion

Cite this study

Also consider

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion