πŸ—žοΈ News - December 15, 2025

Weekly Health & AI Digest – December 15, 2025

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Here are the latest breakthroughs in health & AI (December 15, 2025 week)

πŸ”Ή Token-splitting improves GPT-4.1 performance on plastic surgery exams: implications for AI-Assisted medical education.

Token-splitting boosts GPT-4.1 accuracy to 92.93% in plastic surgery exams, enhancing AI in medical education. πŸ“šπŸ€–



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πŸ”Ή Responsible adoption of multimodal artificial intelligence in health care: promises and challenges.

Exploring multimodal AI in healthcare: promises, challenges, and strategies for equitable patient outcomes. πŸ€–πŸ’‰



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πŸ”Ή Deep learning to predict extrapancreatic perineural invasion at CT images.

Deep learning model predicts extrapancreatic perineural invasion in pancreatic cancer with 79.7% accuracy. πŸ“ŠπŸ€–



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πŸ”Ή Smart and Sustainable: A Global Review of Smart Textiles, IoT Integration, and Human-Centric Design.

Smart textiles integrate IoT for real-time monitoring, enhancing comfort and sustainability in wearables. πŸŒ±πŸ“Š



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πŸ”Ή An integration of deep learning models for effective classification of human activity patterns in disabled people using gesture analysis.

Revolutionary deep learning model achieves 99% accuracy in human activity recognition for disabled individuals! πŸ€–πŸ“Š



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πŸ”Ή Multifactor machine learning models for predicting urinary tract infections: a pilot study.

Machine learning predicts UTIs using vitamin D levels, age, gender, and urine pH. Accuracy up to 88%! πŸ“ŠπŸ”¬



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πŸ”Ή Genomic data representations for horizontal gene transfer detection.

Evaluating 44 genomic data representations reveals RCKmer (k=7) with SVM achieves F1: 0.959 for HGT detection. πŸ“ŠπŸ”¬



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πŸ”Ή What Lies beneath Diabetic Macular Edema: Latent Phenotypic Clustering and Differential Treatment Responses to Intravitreal Therapies.

Diabetic Macular Edema: 3 distinct phenotypic clusters impact treatment response. πŸ“ŠπŸ‘οΈ Tailored therapies may optimize outcomes.



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πŸ”Ή The Application of Artificial Intelligence in Speech and Language Therapy: Attitudes and Expectations.

AI in Speech Therapy: 65% of therapists optimistic about its future use, yet 41% worry about losing the ‘human-factor.’ πŸ€–πŸ’¬



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πŸ”Ή Artificial Intelligence Physician Avatars for Patient Education: A Pilot Study.

AI Avatars Enhance Patient Education: 99% Query Accuracy, 87.7 Usability Score, 100% Trust! πŸ€–πŸ“Š



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πŸ”Ή TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding.

“TCPL: A Breakthrough in Few-Shot EEG Decoding for Brain-Computer Interfaces 🧠⚑”



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πŸ”Ή Classification of Apical Openness Using Vision Transformer: A Comparative Approach with Expert Decisions.

AI Classifies Apical Openness with 88% Accuracy πŸ“ŠπŸ¦·



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πŸ”Ή Second harmonic generation for brain imaging: pathology-related studies.

Second harmonic generation (SHG) microscopy enhances brain imaging, revealing critical insights into trauma, tumors, and neurodegenerative diseases. πŸ§ πŸ”¬



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πŸ”Ή Interrupted Time Series Analysis in Environmental Epidemiology: A Review of Traditional and Novel Modeling Approaches.

Exploring Interrupted Time Series Analysis in Environmental Epidemiology: Key Insights from Recent Research πŸ“ŠπŸŒ



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πŸ”Ή Content validity of AI-generated stuttering assessment and intervention programs based on expert review: A comparative analysis across age groups and language versions.

AI-generated stuttering programs show high content validity (M = 4.6-4.9) but require human validation for cultural nuances. πŸ€–πŸ—£οΈ



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πŸ”Ή Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician’s Guide to the Evolving Landscape.

AI revolutionizes gynecologic cancer care, enhancing accuracy and speed in diagnosis and treatment. Key insights from recent research. πŸ€–πŸ’‘



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πŸ”Ή The Landscape of Medical Education Internationalization in Iran Through a Scientometrics Lens.

Exploring Iran’s Medical Education Internationalization: 94 studies, 2.32 citations/publication, key themes include AI & faculty mobility. πŸ“ˆπŸŒ



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πŸ”Ή Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Casual Machine Learning Approach.

Causal ML identifies patients with sepsis and AKI who benefit from restrictive fluid therapy. πŸš‘πŸ“Š Early AKI reversal rates improved significantly!



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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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