Here are the latest breakthroughs in health & AI (September 29, 2025 week)

🔹 Clinical observation of white eye distribution in patients with hyperlipidemia: an artificial intelligence digital visual examination technique.

AI reveals eye features linked to hyperlipidemia: “spot” score 11.07 vs. 7.50 in normal; significant color differences noted. 👁️📊

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🔹 Data driven healthcare insurance system using machine learning and blockchain technologies.

Innovative healthcare insurance system integrates machine learning & blockchain, achieving RMSE of 0.478 & MAE of 0.0422. 📊🔍

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🔹 Flexible photonic contactless human-machine interface based on visible-blind near-infrared organic photodetectors.

Revolutionary Flex-PCI: 0.5-60 cm range, 10 µm resolution, 1.6 µs response! Transforming AI interactions! 🌐✨

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🔹 New Commission to Enhance AI Integration in NHS

New commission aims to enhance AI integration in NHS for better patient care. Experts will guide regulatory clarity. 🏥🤖

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🔹 Ethical Considerations in Patient Privacy and Data Handling for AI in Cardiovascular Imaging and Radiology.

AI in cardiovascular imaging raises ethical concerns on patient privacy, data handling, and informed consent. 🤖💔

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🔹 North Cumbria NHS Trust Enhances EPR for Document Access

North Cumbria NHS Trust improves document access with MediViewer in Miya Precision EPR. 📄💻 Enhanced efficiency for clinicians.

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🔹 A Pan-H5N1 Multiepitope DNA Vaccine Construct Targeting Some Key Proteins of the Clade 2.3.4.4b Using AI-Assisted Epitope Mapping and Molecular Docking.

AI-designed multiepitope DNA vaccine shows promise against H5N1 clade 2.3.4.4b in chickens. 🦠💉

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🔹 Family Proxy Access Trial on NHS App for Enhanced Health Management

NHS App trials family proxy access for easier health management. Parents can now manage loved ones’ health online. 🏥👨‍👩‍👧‍👦

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🔹 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! 📊🤖

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🔹 COVID-19 Pneumonia Diagnosis Using Medical Images: Deep Learning-Based Transfer Learning Approach.

Deep learning enhances COVID-19 diagnosis accuracy to 98% using medical imaging. Key findings from PubMed article reviewed. 📊🩻

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🔹 Advancing homebrew AI in diagnostic practice: opportunities and barriers†.

Exploring homebrew AI in pathology: potential benefits and challenges for diagnostic practices. 🤖📊

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🔹 Application of artificial intelligence for the detection of obstructive sleep apnea based on clinical and demographic data: a systematic review.

AI enhances obstructive sleep apnea detection using clinical data. AUC values range from 0.62 to 0.93. 📊💤

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🔹 Over 100,000 Universal Care Plans Established in London

Over 100,000 Universal Care Plans established in London. 🏥 This NHS service enhances personalized care for patients. 📋

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🔹 Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System.

Machine learning predicts cancer symptoms effectively, with AUROCs from 0.66 to 0.73 across 82 centers. 📊🤖

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🔹 Nottingham City Launches Digital Neighbourhood Health Service

Nottingham City introduces a digital neighbourhood health service, enhancing community care through technology and integrated teams. 🌐🏥

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🔹 A foundation model for human-AI collaboration in medical literature mining.

AI in Medical Literature Mining: LEADS Model Boosts Recall to 0.81, Saves 20.8% Time! 📊🤖

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🔹 The prompt-powered worksheet: Transforming educators’ generative AI trepidation into student learning tools.

Transforming AI in education: A prompt-powered worksheet enhances critical thinking in health professions. 📚🤖

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🔹 Standardisation of an AI-based vocal fold assessment tool on a recurrent respiratory papillomatosis model.

AI tool enhances vocal fold assessment in recurrent respiratory papillomatosis, showing 69.5% to 42.6% improvement post-treatment. 📉🔍

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🔹 Importance of Digital Solutions for NHS Productivity Highlighted by Jim Mackey

Digital solutions are crucial for NHS productivity, says Sir Jim Mackey. Technology can enhance patient access and care efficiency. 💻🏥

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🔹 Large language models to develop evidence-based strategies for primary and secondary cardiovascular prevention.

AI in Cardiovascular Care: ChatGPT-4o shows 75% accuracy in prevention strategies, but readability remains challenging. 📊❤️

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That’s a wrap for this week’s digest! Stay tuned for more health & AI updates. 🚀💡

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