Publications by authors named "Phillip J Gary"
Article Synopsis
- Digital twins are digital replicas of patients that help test clinical interventions and reduce preventable harm; a new software has been developed to simulate critical illness scenarios based on electronic health records.
- A study involving 35 first-year internal medicine residents assessed the app's usability through both qualitative and quantitative methods during user testing sessions.
- Results showed that the digital twin application had good usability and low to moderate workload, with residents eager to use it for ICU rotations and providing feedback on areas for software improvement.
Critically ill patients presenting with acute on chronic liver failure (ACLF) represent a particularly vulnerable population due to various considerations surrounding the syndrome definition, lack of robust prospective evaluation of outcomes, and allocation of resources such as organs for transplantation. Ninety-day mortality related to ACLF is high and patients who do leave the hospital are frequently readmitted. Artificial intelligence (AI), which encompasses various classical and modern machine learning techniques, natural language processing, and other methods of predictive, prognostic, probabilistic, and simulation modeling, has emerged as an effective tool in various areas of healthcare.
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