πŸ—žοΈ News - November 3, 2025

Weekly Health & AI Digest – November 03, 2025

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Here are the latest breakthroughs in health & AI (November 03, 2025 week)

πŸ”Ή AI Enhances Pandemic Preparedness and Surveillance

AI can enhance pandemic preparedness by analyzing diverse data sources for early pathogen detection. πŸŒπŸ”



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πŸ”Ή Mapping study on AI-based technologies in palliative care – a scoping study.

AI in Palliative Care: Enhancing Quality of Life through Technology πŸ€–πŸ’–



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πŸ”Ή New Antibiotic for Inflammatory Bowel Disease Developed with AI Insights

New antibiotic enterololin targets inflammatory bowel disease, developed with AI insights. Promising treatment for Crohn’s patients. πŸ¦ πŸ’Š



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πŸ”Ή [Psychiatry in the digital age: technological revolution and ethical challenges].

Digital psychiatry evolves with AI, enhancing care access but raising ethical concerns. Balance is crucial for effective treatment. πŸ€–πŸ§ 



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πŸ”Ή CT Scan Changes Over One Year Predict Outcomes in Fibrotic Lung Disease

CT scan changes over one year can indicate future outcomes in fibrotic lung disease. πŸ“ˆπŸ« Early detection is crucial.



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πŸ”Ή Artificial Intelligence for Laser-Assisted Oral Surgery: A Narrative Review of Current Trends and Future Perspectives.

AI in Laser-Assisted Oral Surgery: Precision, Efficiency, and Challenges Ahead πŸ€–πŸ’‰



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πŸ”Ή Precision medicine in orthopaedics: A review of current technologies and future directions.

Precision medicine in orthopaedics integrates individual characteristics for tailored treatments, enhancing outcomes with AI and robotics. πŸ€–πŸ”



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πŸ”Ή Evaluation of Alignment Between Large Language Models and Expert Clinicians in Suicide Risk Assessment.

Chatbots’ responses to suicide risk queries show alignment with expert clinicians at extremes but inconsistencies in intermediate risks. πŸ“ŠπŸ€–



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πŸ”Ή Highland Rebrands to Enhance Support for Health Tech Companies

Highland rebrands to better support health tech companies in navigating market opportunities and driving growth. πŸ“ˆπŸ’‘



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πŸ”Ή AI-Powered Virtual Reality Simulation for Clinical Handover Training: A Development Framework.

AI-Driven VR Enhances Nursing Handover Training: 3-Layer Framework, Real-Time Feedback, Pilot Study Results πŸ“ŠπŸ‘©β€βš•οΈ



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πŸ”Ή Implementation, Experiences, Impact, and Costs of Artificial Intelligence in Chest Diagnostics: Protocol for a Mixed Methods Evaluation.

AI in Chest Diagnostics: Evaluating Implementation, Costs, and Experiences in NHS Networks πŸ“ŠπŸ€–



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πŸ”Ή Artificial Intelligence in Stroke Care: A Narrative Review of Diagnostic, Predictive, and Workflow Applications.

AI transforms stroke care: enhancing diagnostics, predicting outcomes, and optimizing workflows. Key findings from a recent PubMed review. πŸ§ πŸ’‘



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πŸ”Ή AI Tools Enhance Understanding of Disease Origins

AI tools are aiding scientists in tracking disease origins and immune responses, enhancing treatment strategies. πŸ§¬πŸ”



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πŸ”Ή What Is Implementation Science: And Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging.

Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. πŸ€–πŸ“Š



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πŸ”Ή Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery.

“Multimodal contrastive learning enhances rs-fMRI analysis for post-surgery brain network recovery in hypothalamic hamartoma patients. πŸ§ πŸ””



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πŸ”Ή New AI Framework Enhances Immune System Analysis

New AI framework improves immune system analysis, offering faster and more accurate cell identification. πŸ§¬πŸ€–



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πŸ”Ή Ethical aspects of the application of artificial intelligence in allergology.

AI in allergology: ethical challenges, bias, and the need for robust guidelines. πŸ€–βš–οΈ



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πŸ”Ή Addressing Menopause Symptoms: Barriers and Opportunities for Improvement.

Menopause symptoms affect 34% of women aged 45-60. 87% don’t seek care due to time and awareness issues. πŸ©ΊπŸ’‘



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πŸ”Ή Modeling Pain Dynamics and Opioid Response in Oncology Inpatients: A Retrospective Study with Application to AI-Guided Analgesic Strategies in Colorectal Cancer.

AI models predict pain relief in colorectal cancer patients: 73.8% improved, AUC 0.9167. Key insights from PubMed study. πŸ“ŠπŸ’Š



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πŸ”Ή [Applications and perspectives of artificial intelligence in periodontology].

AI in Periodontology: Enhancing Diagnosis & Treatment with 95% Sensitivity πŸ“ˆπŸ€–



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That’s a wrap for this week’s digest! Stay tuned for more health & AI updates. πŸš€πŸ’‘

#HealthAI #TechNews

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