Researchers at Dana-Farber Cancer Institute have developed a diagnostic tool that could transform the way acute leukemia is ...
Aim To identify subgroups of early rheumatoid arthritis (RA) based on comorbidities and RA manifestations and to investigate ...
Machine learning model accurately diagnoses interstitial pneumonia, matching pulmonologist expertise and predicting mortality ...
Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...
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Machine learning unlocks blood test secrets for spinal cord injury
Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...
A new study from researchers at the Mount Sinai Health System suggests that a simple tweak to how artificial intelligence (AI) assigns diagnostic codes could significantly improve accuracy, even ...
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