AI scribe use associated with reduced documentation time but longer clinical notes
1. In this quality improvement study, ambient artificial intelligence (AI) scribes were associated with modestly reduced median time spent documenting ...
Tag: artificial intelligence
An artificial intelligence system for human papillomavirus-positive dual stain cervical cancer screening reads p16-Ki67 slides
1. Lahrmann and colleagues developed an artificial intelligence (AI) system using dual stain triage for HPV-based cervical cancer screening to ...
An artificial intelligence model demonstrates the potential for improving the efficiency of structural heart disease screening using electrocardiograms
1. Oikonomou and colleagues assessed an AI model’s ability to select patients for ECG screening of structural heart diseases. 2. ...
Deep learning model demonstrates potential to generate an interpretable brain health biomarker from sleep electroencephalography
1. Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography data. 2. The ...
Artificial intelligence (AI)-powered mental health app demonstrated improved social well-being among users
1. Cachia and colleagues assessed an AI-powered mobile app’s ability to deliver personalized well-being support to users. 2. Users who ...
Pairing cardiac magnetic resonance with electrocardiograms (ECGs) improved artificial intelligence (AI) assessments of cardiovascular diseases
1. Ding and colleagues developed a deep-learning model that learns relationships between ECGs and paired cardiac magnetic resonance images. 2. ...
Physician edits to artificial intelligence (AI)-generated messages to patients were associated with different response time burdens
1. Poursoltan and colleagues examined physician modifications to AI-generated patient messages and associated time burden. 2. Messages about clinical interpretations ...
Artificial intelligence (AI)-triggered rapid response notifications were associated with lower mortality among inpatients
1. Nahass and colleagues evaluated the implementation of an AI-powered electronic alert system that automatically activated the rapid response team. ...
Deep-learning model achieved high diagnostic performance for detecting cardiac enlargement using electrocardiograms
1. Zhu and colleagues developed a deep learning model to detect atrial enlargement and ventricular hypertrophy or dilation using electrocardiograms ...
Artificial intelligence capable of identifying uncommon gastrointestinal pathologies despite no targeted disease training
1. Dippel and colleagues evaluated artificial intelligence (AI) detection models’ ability to identify infrequent pathological changes on gastrointestinal (GI) biopsies. ...
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