Health AI Central
Share:
Peer-Reviewed Publication
Am J Bioeth2026;26(2):1-6.February 1, 2026Editorial

Bridging the Gap: Consensus-Based Considerations for AI Usefulness in Healthcare.

Megan E Salwei1, Keith Morse2, Suchi Saria3,4, Nigam H Shah2, Armando Bedoya5, Molly Beyer6, Alejandro Muñoz Del Rio7, Dennis Chornenky8, Anthony Lin5, Sawan Ruparel9, Daniel Kortsch10, Priyank Barbarooah11, Morgan Hanger12, Ashley N Beecy13, Matthew Elmore5, Nicoleta J Economou-Zavlanos5
1Vanderbilt University Medical Center.
2Stanford School of Medicine.
3Johns Hopkins University.
4Bayesian Health.
5Duke University School of Medicine.
6Microsoft Health and Life Sciences.
7Epic Systems.
8Domelabs AI.
9Boston Consulting Groupand University of Connecticut.
10Denver Health & University of Colorado School of Medicine.
11AIOps at United Health group.
12Clinical Trials Transformation Initiative.
13Weill Cornell Medicine.
PubMed DOI

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.