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

Year: 2026

Type: article

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.

Source: Journal of Medical Internet Research

DOI: 10.2196/115806

Author: Simon Spichak

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $2,950

OpenAlex ID: W7225798434

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