How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide

This Medical News article is an interview with Emily E. Haroz, PhD, an associate professor at the Johns Hopkins Bloomberg School of Public Health’s Center for Indigenous Health, about an observational study that compared suicide risk machine learning models with a non–artificial intelligence screening method in a large group of Indian Health Service patients.

Authors

Publication Details

Journal
JAMA
Published
2025-01-10
DOI
https://doi.org/10.1001/jama.2024.24063
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
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article

How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide

Jennifer Abbasi, Yulin Hswen
JAMA
Healthcare Systems and Public Health
article

How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide

Jennifer Abbasi, Yulin Hswen
article en

Abstract

This Medical News article is an interview with Emily E. Haroz, PhD, an associate professor at the Johns Hopkins Bloomberg School of Public Health’s Center for Indigenous Health, about an observational study that compared suicide risk machine learning models with a non–artificial intelligence screening method in a large group of Indian Health Service patients.

JAMAVol. 333(6)
Openalex Percentile: Top 99%
Healthcare Systems and Public Health
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How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide — Jennifer Abbasi, Yulin Hswen · JAMA (2025) | TGRS Research Map | TGRS