Professor Im Joo Rhyu, director of the Korea University Graduate Program for Convergence & Translational Biomedicine and ...

Discover a study that evaluated the effectivness of Surgical Procedure Models, which structure surgical workflows.

An AI algorithm demonstrated strong performance for detecting chronic liver disease from routinely acquired echocardiography ...

Machine learning may help identify biomarkers and develop predictive models that could assist in the diagnosis of metabolic ...

A European Medicines Agency committee, on Thursday, accepted the use of an artificial intelligence (AI) tool called AIM-NASH ...

Researchers provide a conceptual overview of liver vasomics, including the classification of vascular phenotypes in the liver ...

AI-powered models can analyze large datasets in real-time, optimizing organ distribution across wider geographic regions.

Application of the ACE-Star Evidence-Based Nursing Model Combined with Voice Training in Voice Rehabilitation after Vocal Cord Polyp Surgery ...

The application integrates advanced imaging analytics and machine learning, empowering surgeons to take ownership of their ...

Microphysiological systems, or organ-on-a-chip models, use miniature 3D cultures of cells from various organs – such as the liver, heart and lungs – to mimic how these organs would function in the ...

School of Pharmaceutical Sciences, University of South China, Hengyang 410001, China Hengyang Medical School, University of South China, Hengyang, Hunan 410001, China School of Pharmaceutical Sciences ...

Anatomical vascular phenotypes of the liver are commonly obtained using multimodality imaging ... associations with various clinical and pathological factors. These models assist in identifying the ...