News-Medical.Net

APOLLO AI learns from 25 billion medical events to predict future disease

APOLLO is a multimodal temporal foundation model trained on 25.2 billion medical events from 7.2 million patients across 33 ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
IEEE

Multi-Disease Prediction Using Machine Learning

Abstract: One of the foremost contributors to mortality in the modern world arises from a combination of factors, with heart disease and diabetes being prominent among them. The challenge of ...
Mashable

Meet the women using AI to detect hidden heart disease

Australian startup Sonorus is developing an AI algorithm that can identify signs of rheumatic heart disease (RHD) within minutes, simply by analysing heart sounds. Showcased at the recent SXSW Sydney ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...
IEEE

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion

Abstract: Cardiovascular disease is the primary cause of death globally, necessitating early identification, precise risk classification, and dependable decision-support technologies. The advent of ...
ahajournals.org

Automated Echocardiographic Detection of Congenital Heart Disease Using Artificial Intelligence

Background: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pediatric mortality worldwide. Echocardiography (echo) is central to diagnosing and triaging CHD, yet ...