Dartford and Gravesham NHS Trust Adopts Clinisys ICE for Enhanced Test Ordering
Dartford and Gravesham NHS Trust implements Clinisys ICE for efficient test ordering in radiology and pathology. π₯π
October 15, 2025
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Discover the newest research about AI innovations in π₯ General Practice.
AI Physiotherapy Clinic Receives Approval for Autonomous Operations
AI Physiotherapy Clinic Approved for Autonomous Operations π€π₯. Flok Health’s platform can now diagnose and treat without human input.
October 3, 2025
West Yorkshire Launches Pilot for Digital Twin Technology in Kidney Disease Management
West Yorkshire pilots digital twin technology for chronic kidney disease management, aiming to enhance patient care and reduce NHS pressures. π₯π»
October 2, 2025
Using Medical Named Entity Recognition in Automatic ICD Prediction.
Innovative algorithm achieves 90% precision in ICD code prediction using Medical NER and ClinicalBERT. ππ‘
October 1, 2025
Rapidly Benchmarking Large Language Models for Diagnosing Comorbid Patients: Comparative Study Leveraging the LLM-as-a-Judge Method.
Benchmarking LLMs for Diagnosing Comorbid Patients: 97.4% Hit Rate Achieved! ππ€
September 27, 2025
Over 100,000 Universal Care Plans Established in London
Over 100,000 Universal Care Plans established in London. π₯ This NHS service enhances personalized care for patients. π
September 26, 2025
Great Ormond Street Hospital Integrates AI for Enhanced Pediatric Care
Great Ormond Street Hospital is integrating AI to enhance pediatric care, improving patient outcomes and operational efficiency. π€πΆ
September 22, 2025
Bibliometric and Visualized Analysis of Research Relating to Spinal Modic Changes Reported Over the Period 2004-2024.
π Spinal Modic Changes: 603 Articles, 168 Journals, Key Hotspots Identified! π§
September 20, 2025
Concerns Raised Over Online Consultation Changes by BMA
BMA raises concerns about online consultation changes, urging government safeguards to prevent overwhelming GP practices. π₯π»
September 20, 2025
Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20Β Years.
Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. πποΈ
September 18, 2025