New Guidelines Aim to Address Bias in Medical AI Technologies
New guidelines aim to reduce bias in medical AI technologies. 🌍🤖 Diverse datasets are essential for equitable healthcare.
Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.
AI-enhanced 3D body composition analysis improves chemotherapy toxicity predictions in colon cancer patients. Promising for patient care! 📊💊
Research on Music Therapy for Dementia Patients from South Asian Backgrounds
Research explores AI and music therapy for dementia patients from South Asian backgrounds. 🎶🧠 Study aims to reduce anxiety.
Predicting Subject Traits From Brain Spectral Signatures: An Application to Brain Ageing.
New research explores EEG data for predicting traits like biological age. Promising methods enhance accuracy in neuroscience. 🧠📊
Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?
AI in radiotherapy shows promise, but effective implementation strategies are crucial for success. 🤖💡 Collaboration is key!
Trustworthy implementation of artificial intelligence in cardiology: a roadmap of the European Society of Cardiology.
Exploring AI in cardiology: a roadmap by the European Society of Cardiology. 🫀🤖 Key insights for future implementation.
Multimodal data fusion AI model uncovers tumor microenvironment immunotyping heterogeneity and enhanced risk stratification of breast cancer.
AI models enhance breast cancer risk stratification and immunotherapy response through lncRNA analysis and multimodal data integration. 📊💡
Patient perspectives on the use of digital medical devices and health data for AI-driven personalised medicine in Parkinson’s Disease.
Digital medical devices show promise for Parkinson's patients. High willingness to use them noted in recent study. 📊💡