A groundbreaking NLP algorithm accurately identifies precancerous gastric and esophageal conditions from EHRs, enhancing early detection and personalized patient care.
ATLANTA, Feb. 27, 2025 /PRNewswire/ -- A new study published in the New England Journal of Medicine reveals that clinician-trained AI models can reduce EHR inbox burden by 40%, dramatically improving ...
ABU DHABI, United Arab Emirates--(BUSINESS WIRE)--Technology Innovation Institute (TII), a global research center and applied research pillar of Abu Dhabi’s Advanced Technology Research Council, today ...
Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching ...
Apple has published a post with multiple highlights, and all the studies presented, at a two-day event on natural language ...
What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...
A pediatric asthma subgroup at high risk for acute respiratory infections can be identified using 2 natural language processing algorithms.
eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Artificial intelligence (AI) models are computer programs ...
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