A multi-artificial intelligence agent architecture triggers high-risk patient advanced care planning to improve clinical workflows and patient experiences, while integrating critical human steps for ...

Advances in network science, artificial intelligence, and clinician networks may shift medical decisions from individual doctors to groups—and even AI models—at scale.

Annual Congress was host to a renal cell carcinoma abstract session. Dr. David Liu presented results from ZIRCON-X, a post-hoc analysis of the phase 3 ZIRCON study evaluating the potential impact of ...

This post was authored in collaboration with Enrico Vescovo, a medical student at Ferrara University (Italy). The medical profession strives for equal treatment of all patients. This pledge is one of ...

MRD is seen as a promising tool for early treatment decisions, but its adoption varies between Europe and the US. Patients view MRD as an opportunity for early remission indication, but it can cause ...

A narrative review examines how generative AI tools such as large language models and vision-language models could assist precision oncology by interpreting genomic data, matching patients to clinical ...

Researchers at the Else Kröner Fresenius Center (EKFZ) for Digital Health at TUD Dresden University of Technology, in collaboration with partners from Germany, the U.K. and U.S., have developed and ...

Artificial intelligence is rapidly transforming clinical medicine, with AI-powered tools increasingly being used for diagnostic imaging interpretation, clinical decision support, predictive analytics ...

Please provide your email address to receive an email when new articles are posted on . Rather than telling a patient they should get a vaccine, the CDC’s shared clinical decision-making ...