Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...
Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.
AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been recently developed ...
News-Medical.Net on MSN
Wearable AI device turns silent throat signals into fluent speech for stroke patients
By Dr. Priyom Bose, Ph.D. By reading subtle throat vibrations and pulse signals, a lightweight AI -powered choker helps ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
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