Open Heart

Cardiac CT in the era of artificial intelligence: precision imaging, treatment guidance and optimised risk stratification for coronary artery disease

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...
News-Medical.Net

Machine learning model boosts success of liver transplants from circulatory death donors

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
IEEE

Transformer Based Federated Learning Framework for Heart Disease Prediction

Abstract: Heart related diseases are a life threatening which makes it crucial to develop efficient and automated predictive models for early diagnosis. Traditional methods rely on centralized data ...

Largest RNA language model to date offers new way to predict behavior and boost drug discovery

RNA plays a vital role in how our genes are expressed and how diseases develop. Yet, because RNA molecules constantly change ...

AI model powers skin cancer detection across diverse populations

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...
News-Medical.Net on MSN

Researchers develop multiethnic model for identifying individuals with skin cancer

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...
IEEE

An Extensive Approach to Detect Apple Fruit Diseases using Neural Convolutional Learning with Classification Principles

Abstract: Apple fruit diseases significantly impact agricultural productivity and quality, making early and accurate disease detection critical. This study proposes a novel neural convolutional ...