Shift Towards Digital and Community Care in NHS, According to Wes Streeting
NHS plans to shift care from hospitals to digital and community settings, emphasizing technology and AI integration. π±π₯
June 14, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis.
Innovative AI fusion boosts gastric cancer detection accuracy to 97.8% π, enhancing clinical trust with explainable insights! π©Ί
June 14, 2025
Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions.
Deep-learning algorithms enhance lung lesion detection in CT scans, improving image quality significantly. ππ©»
June 13, 2025
Knowledge Graph-Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation.
AI-Driven H-SYSTEM Achieves 94.87% Accuracy in Hypertensive Intracerebral Hemorrhage Diagnosis π§ π
June 13, 2025
Machine Learning Tool Developed for Colorectal Cancer Diagnosis and Monitoring
New machine learning tool aids in colorectal cancer diagnosis and monitoring by analyzing metabolic profiles. π§¬π
June 12, 2025
Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study.
Machine learning predicts occupational noise-induced hearing loss using blood indicators. AUC 0.942, sensitivity 0.875, specificity 0.936. ππ
June 12, 2025
Challenges and Opportunities for Global Cervical Cancer Elimination: How Can We Build a Model for Other Cancers?
Cervical cancer remains a leading cause of death among women. Effective HPV vaccination and screening are crucial. ππ
June 12, 2025
Mayo Clinic Partners with hellocare.ai for AI-Enhanced Virtual Care
Mayo Clinic partners with hellocare.ai to enhance virtual care using AI technology, aiming to improve patient outcomes and experiences. π€π₯
June 12, 2025
AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients.
AI Model Predicts Postoperative Delirium in Elderly Patients with 85% Accuracy π€π©Ί
June 12, 2025
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea.
AI-based early warning system VC-MAES shows 91.8% accuracy in predicting major adverse events, outperforming traditional scores. ππ©Ί
June 11, 2025