To the Editor—Artificial intelligence (AI)-based technologies dominate medical headlines
and are routinely touted as the panacea for a number of longstanding deficiencies across …

To the Editor—Over the next decade, systems that are centered on artificial intelligence (AI),
particularly machine learning, are predicted to become key components of several …

With only a limited number of clinical trials of artificial intelligence in medicine thus far, the
first guidelines for protocols and reporting arrive at an opportune time. Better protocol …

We would like to thank the Editorial Board and the authors of the editorials for their support
for the STARD initiative. We firmly believe that reporting guidelines such as STARD can …

The Checklist for Artificial Intelli-gence in Medical Imaging (CLAIM) promotes transparent
and reproducible reporting of artificial intelligence (AI) research in medical imaging, and has …

DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in
clinical artificial intelligence | Nature Medicine Skip to main content Thank you for visiting …

Clinical prediction models follow a standard development pipeline: model development and
internal validation; external validation; and clinical impact studies. External validation …

Interest in the application of artificial intelligence (AI) to human health continues to grow, but
widespread translation of academic research into deployable AI devices has proven more …

Artificial intelligence (AI) systems are increasingly being investigated in clinical trials. Trials
that use AI must be held to the same ethical standards for risk assessment and disclosure as …

Systematic reviews and meta-analyses play an essential part in guiding clinical practice at
the point of care, as well as in the formulation of clinical practice guidelines and health policy …