Despite Rapid Adoption, We Don't Know If Most AI Devices Improve Patient Outcomes

Abstract As the speed of adoption in health care increases, validation of AI medical devices lags behind—leaving uncertainty about whether these tools will ultimately benefit patients. In this News and Perspectives article, JMIR Correspondent Simon Spichak reports on this evidence gap and the complexities, frustrations, and risks around it.

Authors

Simon Spichak (ORCID: https://orcid.org/0000-0003-1226-5527)

Publication Details

Journal: Journal of Medical Internet Research
Published: 2026-11-11
DOI: https://doi.org/10.2196/115806
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.00

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article

Despite Rapid Adoption, We Don't Know If Most AI Devices Improve Patient Outcomes

Simon Spichak

Nov 11, 2026

Journal of Medical Internet Research

Artificial Intelligence in Healthcare and Education

article

Despite Rapid Adoption, We Don't Know If Most AI Devices Improve Patient Outcomes

Simon Spichak

November 11, 2026article en

Abstract

Journal of Medical Internet ResearchVol. 28

Artificial Intelligence in Healthcare and Education

DOI Open Access PDF OpenAlex

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Despite Rapid Adoption, We Don't Know If Most AI Devices Improve Patient Outcomes — Simon Spichak · Journal of Medical Internet Research (2026) | TGRS Research Map | TGRS