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In the Age of AI, many health care providers dream of a digital assistant, unencumbered by fatigue, workload, burnout or ...
After a hurricane passes, scientists routinely evaluate the computer models that predicted its path and power. This year, a ...
Theoretically, AI agents can surf the web, access datasets through APIs, write and execute code, conduct online transactions, ...
A Nigerian PhD student has developed a transparent machine learning system to help e-commerce businesses make data-driven decisions. Learn how this innovative model explains its predictions.
Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...
A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...
Jaeckle and colleagues assessed the performance of machine learning models to diagnose celiac disease based on duodenal biopsies. 2. The machine learning models achieved accuracy above 90% and similar ...
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