
Uncovering bias and variability in how large language models attribute cardiovascular risk.
Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. πβ€οΈ
Discover the newest research about AI innovations in π« Cardiology.

Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. πβ€οΈ

Mayo Clinic’s AI algorithm improves sleep apnea detection in women, using ECG results for faster diagnosis. π€β€οΈ

AI in ECG for Sudden Cardiac Death Prediction: Sensitivity 90%, Specificity 91% ππ

New heart monitoring system combines 3D printing and AI for improved diagnostics. πβ€οΈ Enhanced comfort and reduced waste.

AI-ECG models: Balancing performance and explainability. ππ Study reveals trade-offs in interpretability and diagnostic accuracy.

Lung cancer survival prediction enhanced by dual time point CT scans. π Study shows improved accuracy using foundation models. π©Ί

Data augmentation reshapes feature importance in CVD prediction models. Key findings: SMOTE model accuracy 1.0! ππ

AI in healthcare: ChatGPT & DeepSeek show promise in clinical decision-making, but face challenges like bias & privacy. π€π

Multimodal AI enhances cardiovascular disease management by integrating diverse data sources for improved diagnosis and treatment. π«π

AI improves heart attack risk prediction with the new GRACE 3.0 score, enhancing patient treatment decisions. β€οΈπ©Ί