Discover: Ambient Intelligence in ICU, Clinical AI Monitoring Systems, and Post-Encounter Notes with AI

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Dear Mufhandu Muvuledzi,
Discover promising and innovative developments shaping the future of medicine. From case studies to clinical trials, NEJM AI covers groundbreaking research and insights into the latest AI advancements driving improvement in patient care and outcomes.
Case Study
Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI
UT Southwestern Medical Center piloted the prospective deployment of an AI-based automated grading system for medical student post-encounter learner notes during administration of OSCEs.
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Article 1
Podcast
Health Care at the Breaking Point
In this episode of the NEJM AI Grand Rounds podcast, Dr. Zak Kohane joins hosts Raj Manrai and Andy Beam to discuss the evolving landscape of AI in medicine.
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Review Article
Not All Clinical AI Monitoring Systems Are Created Equal
While practices for the initial evaluation of clinical artificial intelligence (AI) algorithms are well established, there is little consensus on how to design effective monitoring systems for the post-deployment setting.
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Article 5
Original Article
Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision
A pioneering computer vision system expands automated identification of clinically important bedside clinical actions such as ICU preventive bundle elements, making strides in ICU observational research.
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Explore the potential of artificial intelligence and machine learning to transform clinical medicine.
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