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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 ...
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Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
Age prediction can help determine whether an account likely belongs to someone under 18, so the right experience and ...
As the anticipation builds for the Australian Open 2026, tennis enthusiasts are eager to see how Linda Noskova and Darja Semenistaja will fare in their first-round m ...
What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...
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 ...
A trip to Super Bowl LX will be on the line Sunday with both the AFC and NFC Championship Games. In the AFC, Drake Maye and ...
Patients wearing just four sensors — on each thigh, the lower back and upper back — can get accurate real-time, AI-driven ...
Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry’s current obsession wit ...
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