Machine learning approached a 14-item shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM-14).
Machine learning refines sleep appraisal: PANSAM-14 shows R² scores up to 0.95 for predictive accuracy. 💤📊
NHS Funding Prioritizes Non-Acute Care Settings
NHS funding will increasingly support non-acute care settings, as confirmed by Alec Price-Forbes at Rewired 2026. 🏥💰
Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data.
Multimodal ML enhances extubation decisions in critical care, achieving 79.46% accuracy. Key metrics: respiratory rates, tidal volumes, demographics. 📊🩺
Harris Health Alliance Acquires eRedbook for Enhanced Child Health Services
Harris Health Alliance has acquired eRedbook, improving digital child health records for better services. 📊👶
Artificial Intelligence Applications in COVID-19-Associated Coagulopathy: Lessons Learned.
AI in COVID-19 Coagulopathy: D-dimer's Role, Thrombotic Risks, and Future Directions 📊🩸
Key Technology Challenges Facing the NHS
Key technology challenges in the NHS include integration, data security, and user training. Addressing these is crucial for improvement. 🏥💻
Alignment of Large Language Model Responses With Human Therapists in Motivational Interviewing.
LLMs show promising alignment with therapists in MI, but long-term coherence and quality need improvement. 📊🤖
Nearly 1,000 Participants Enrolled in LiveWell Liver Study Using NHS Data
Nearly 1,000 participants joined the LiveWell Liver Study in under a year, utilizing NHS data for research. 📊🩺