A team at the University of Texas at Arlington will use a $450,000 grant to develop a predictive analytics tool to forecast which patients’ diseases will recur.
Providers selected an AI-recommended diagnosis in 84% of virtual primary care cases, demonstrating significant potential to ...
Experts discuss how predictive modeling and an analytics partnership helped one accountable care organization advance its ...
Natural language processing, understanding, and generation may help healthcare stakeholders make better use of their wealth ...
Researchers have created a machine learning tool to help ensure that therapeutic antibodies bind target antigens, repel each ...
University of Houston researchers have received a $3 million NIH grant to fund the development of an AI tool to classify ...
Confidential computing will become key to protecting patient data as healthcare organizations seek to leverage cloud ...
The CDC’s Center for Forecasting and Outbreak Analytics has awarded over $260 million to 13 infectious disease forecasting ...
A machine learning model determined that age, sex, height, weight, and time of day are factors that contribute to variations ...
A machine learning model using ecological momentary assessment data could forecast 1-, 3-, and 8-month suicidal ideation in sexual and gender minority individuals.
A breast cancer screening AI demonstrated similar sensitivity and specificity to those achieved by 552 human readers of screening mammograms.
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