Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns,
despite a lack of understanding of its performance in clinical practice. We conducted a cross …

Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …

Objective Given the complexities of testing the translational capability of new artificial
intelligence (AI) tools, we aimed to map the pathways of training/validation/testing in …

Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …

Background Clinical trials are essential for bringing new drugs, technologies and
procedures to the market and clinical practice. Considering the design and the four-phase …

Background The application of artificial intelligence (AI) in healthcare is an area of immense
interest. The high profile of 'AI in health'means that there are unusually strong drivers to …

Increased scrutiny of artificial intelligence (AI) applications in healthcare highlights the need
for real-world evaluations for effectiveness and unintended consequences. The complexity …

Objective: Clinical trials contribute to the development of clinical practice. However, little is
known about the current status of trials on artificial intelligence (AI) conducted in emergency …

Background The application of artificial intelligence (AI) in the delivery of health care is a
promising area, and guidelines, consensus statements, and standards on AI regarding …

Harnessing artificial intelligence to improve clinical trial design | Communications Medicine
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