Non-small cell lung cancer subtype classification based on cross-scale multi-instance learning.
Revolutionary model achieves 97% accuracy in classifying lung cancer subtypes! 📊🔬 Robust across diverse datasets!
A Laboratory-Based Federated Learning Deployment on Real Devices for ECG-Based Clinical Decision Support Systems.
Federated Learning enhances ECG data privacy in clinical decision support, achieving 93% F1 score on real IoT devices. 📊💡
The cost of explainability in artificial intelligence-enhanced electrocardiogram models.
AI-ECG models: Balancing performance and explainability. 📊🔍 Study reveals trade-offs in interpretability and diagnostic accuracy.
The global epidemiology of acute kidney injury: challenges and opportunities.
Global AKI: 2 million deaths annually, rising chronic kidney disease risk, and urgent need for equitable care. 🌍💔
A combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction.
Innovative tool enhances craniosynostosis surgery planning with 0.95 accuracy! 🤖🧠 Reduces radiation exposure, improves outcomes.
Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.
Expert consensus on apical mucosal preservation in HoLEP shows 85% agreement, crucial for AI model accuracy. 🤖🔍
Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.
AI-driven virtual physiotherapy assistants enhance home rehabilitation, improving adherence and outcomes. Key challenges include sensor accuracy and engagement. 🤖🏡
Quantitative Imaging for Interstitial Lung Disease.
Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. 📊🫁