Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
The Class II medical device, an AI-Automated Human Blood Cell Morphology Analyzer, received approval from the Hunan Provincial Medical Products Administration. The analyzer combines high-speed digital ...
From interactive diagrams to A.I. assistants, virtual tools are beginning to supplant physical dissections in some classrooms Students learn anatomy from an Asclepius AI Table, which merges ...
A government-backed study in South Korea has developed an AI in medical imaging that has shown privacy-protecting capability. A research team led by Asan Medical Center (AMC), the country's biggest ...
MoGLo-Net tracks the motion of the ultrasound transducer using tissue speckle data without the need for external sensors, creating a clear 3D ultrasound volume for accurate visualization of bodily ...
dDepartment of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China ...
Abstract: Recent advancements in medical object detection (MOD) have been propelled by the rapid evolution of deep learning (DL) technologies, revolutionizing medical imaging and diagnostic workflows.
DLAAD-deep learning algorithms assisted diagnosis of chest disease using radiographic medical images
Introduction: Viral infections can cause pneumonia, which is difficult to diagnose using chest X-rays due to its similarities with other respiratory conditions. Current pneumonia diagnosis techniques ...
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