Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist |
Nature Medicine Skip to main content Thank you for visiting nature.com. You are using a …
Nature Medicine Skip to main content Thank you for visiting nature.com. You are using a …
The AIMe registry for artificial intelligence in biomedical research
The AIMe registry for artificial intelligence in biomedical research | Nature Methods Skip to
main content Thank you for visiting nature.com. You are using a browser version with …
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DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
Nature Medicine, 2021 - nature.com
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 artificial intelligence | Nature Medicine Skip to main content Thank you for visiting …
Welcoming new guidelines for AI clinical research
EJ Topol - Nature medicine, 2020 - nature.com
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 …
first guidelines for protocols and reporting arrive at an opportune time. Better protocol …
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
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 …
particularly machine learning, are predicted to become key components of several …
[HTML][HTML] The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence
F Cabitza, JD Zeitoun - Annals of translational medicine, 2019 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) in healthcare has become a quasi-normal subject (1). In the last few
years, there has been an impressive increase in the number of publications concerning the …
years, there has been an impressive increase in the number of publications concerning the …
External validation of AI models in health should be replaced with recurring local validation
Clinical prediction models follow a standard development pipeline: model development and
internal validation; external validation; and clinical impact studies. External validation …
internal validation; external validation; and clinical impact studies. External validation …
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
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 …
and are routinely touted as the panacea for a number of longstanding deficiencies across …
[HTML][HTML] The false hope of current approaches to explainable artificial intelligence in health care
M Ghassemi, L Oakden-Rayner… - The Lancet Digital Health, 2021 - thelancet.com
The black-box nature of current artificial intelligence (AI) has caused some to question
whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has …
whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has …
Foundation models for generalist medical artificial intelligence
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …