American Institute of Physics

Predicting stroke recovery motor progress using EEG data

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
The Cardiology Advisor

Deep Learning Model Can Predict Cardiopulmonary Disease in Retinal Images of Preterm Infants

A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.

Study examines prediction of surgical risk in growing population of adults with congenital heart disease

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...

Even Tech Skeptics Can Cheer AI’s Promise in Decoding the Dark Genome

Google DeepMind, the artificial intelligence subsidiary of Alphabet, has made another leap in its efforts to illuminate human ...
Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Heart

Anaemia and blood transfusion in cardiac surgery with infective endocarditis

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...
GitHub

multiple-disease-prediction

Multiple Disease Prediction System using Machine Learning. Predicts Parkinson's, Heart Disease, and Diabetes via a web interface powered by Logistic Regression, SVM, KNN, and Stacking Ensemble.
Frontiers

Machine learning prediction and SHAP interpretability analysis of heart failure risk in patients with hyperuricemia

Department of Cardiology, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China Aims: Cardiovascular disorders, particularly heart failure (HF), are a critical global ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Frontiers

Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning

1 Department of Computer Science, National University of Modern Languages (NUML), Islamabad, Pakistan 2 Department of AI and SW, Gachon University, Seongnam, Republic of Korea Cardiovascular diseases ...
News Medical

Deep learning algorithm uses mammograms and age for heart disease prediction

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...