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How to benchmark medical AI agents

July 9, 2026

How to benchmark medical AI agents

In this Perspective article, Silas Ruhrberg Estévez and colleagues discuss why, as medical AI research shifts toward multimodal large language model-based agents for complex clinical workflows, benchmarks that assess clinical reasoning, process safety, and resource stewardship—rather than final outputs alone—are required.

Image credit: Silas Ruhrberg Estévez and colleagues

07/10/2026

Research Article

Compression therapies for venous leg ulcers: The VENous Ulcer Study 6 (VenUS 6), an open, multicentre, randomised clinical trial

In this open, multicentre, randomised clinical trial, Catherine Arundel and colleagues evaluate the clinical effectiveness of three venous leg ulcer treatments: compression wraps, two-layer compression bandages, and evidence-based compression (four-layer compression bandages and two-layer compression hosiery).

Image credit: Dariusz Czapski, Unsplash

Compression therapies for venous leg ulcers: The VENous Ulcer Study 6 (VenUS 6), an open, multicentre, randomised clinical trial

06/30/2026

Perspective

Precision oncology’s translation gap—Can molecular tumor boards bridge it?

Molecular tumor boards translate complex genomic data to more effectively inform personalized care, and a new meta-analysis shows they boost clinical outcomes. In this Perspective, Margaret Byrne and Jill Kolesar discuss how we may feasibly and equitably expand the use of MTBs.

Precision oncology’s translation gap—Can molecular tumor boards bridge it?

Image credit: Google DeepMind, Pexels

06/30/2026

Editorial

Improving suicide prevention in men

Despite public health strategies focusing on men’s mental health and suicide risk, rates of suicide among men remain concerningly high. In this Editorial, Seena Fazel outlines why targeted, specialized approaches for high-risk individuals should be prioritized alongside broader population-level strategies.

Improving suicide prevention in men

Image credit: Peter Burdon, Unsplash

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PLOS Medicine | ISSN: 1549-1676 (online)