Artificial Intelligence

1. Zhu and colleagues developed a deep learning model to detect atrial enlargement and ventricular hypertrophy or dilation using electrocardiograms...

1. Dippel and colleagues evaluated AI detection models’ ability to identify infrequent pathological changes on gastrointestinal (GI) biopsies. 2. The...

1. Bhargava and colleagues evaluated an AI tool’s ability to identify sepsis at presentation in adults with suspected infection. 2....

1. Ifargan and colleagues developed a platform that guides LLMs to annotate research data and produce comprehensive research papers. 2....

1. Taylor and colleagues evaluated the implementation of an AI-informed triage decision-support tool. 2. With the AI tool, nurses more...

1. Tak and colleagues developed a temporal deep-learning model to predict one-year pediatric glioma recurrence using surveillance magnetic resonance imaging...

1. Lukac and colleagues compared two ambient AI scribes with usual documentation approaches among outpatient clinical visits. 2. Both AI...

1. Hagopian and colleagues developed a deep-learning model to quantify coronary artery calcium on computed tomography scans across Veterans Affairs...

1. Heinz and colleagues evaluated a generative AI chatbot for adults with clinically significant depression, anxiety, or elevated risk for...

1. Lavigne and colleagues evaluated whether an AI-powered training platform could improve Objective Structured Clinical Examination (OSCE) performance. 2. Students...