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The Lancet Digital Health
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AI development for biological age and cancer prognosis
2 clusters · 7 sources · last updated
Latest: Researchers develop AI model to predict biological age and cancer survival via facial scans
Researchers have introduced a new artificial intelligence system, Foundation Artificial Intelligence for Health Recognition-Face (FAHR-Face), designed to assess biological age and predict cancer survival through facial a
Mass General Brigham AI cancer survival research
2 clusters · 26 sources · last updated
Latest: Mass General Brigham AI predicts cancer survival from facial photos
Researchers at Mass General Brigham have developed an artificial intelligence system, utilizing a foundation model known as FAHR-Face, to estimate a cancer patient’s biological age and mortality risk from a single facial
Mass General Brigham cancer research developments
2 clusters · 56 sources · last updated
Latest: Mass General Brigham researchers develop AI to predict cancer survival from facial photos
Mass General Brigham has introduced new initiatives aimed at improving cancer diagnosis and patient prognosis through multidisciplinary coordination and artificial intelligence. The institution launched the Early Detect
AI advancements in cardiac diagnostic detection
12 clusters · 43 sources · last updated
Latest: AI models enhance medical diagnostics using routine clinical data
Researchers are developing artificial intelligence models to improve the detection of various cardiac conditions through electrocardiograms (ECGs). At Wake Forest University School of Medicine, an AI model was developed
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Scripps Research develops AI to predict diabetes and kidney disease via ECG
[HEALTH] · 2 sources ·