Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...
By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
News Medical on MSN
Seeing thyroid cancer in a new light: when AI meets label-free imaging in the operating room
Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...
Traditionally, cancer diagnosis and prognosis rely heavily on histopathological examination, where tissue morphology is evaluated under the microscope. However, the molecular ...
A Lawrence Technological University graduate student originally from Kazakhstan is helping redefine precision in robotic ...
Many young children experience significant mental health challenges that interfere with their development, relationships, and ...
The semiconductor firm says its low-power CVflow-based SoCs are helping drones evolve from flying cameras into intelligent, ...
The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...
Why traditional safety metrics fail to prevent serious injuries and fatalities—and how AI helps EHS teams identify PSIF risks ...
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