Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

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 ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and simultaneously determine the imaging method and image orientation. Using these ...

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 ...