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Medicare launches AI review tool for prior authorization in six states starting January 1

Medicare is rolling out AI-powered prior authorization reviews for 17 outpatient services across six states starting January 1, 2026. The Wasteful and Inappropriate Service Reduction (WISeR) Model aims to curb fraud and wasteful spending but has sparked concern among physicians over administrative burdens, potential care delays, and unclear implementation guidance with just days before launch.

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AI Tool Predicts Underfeeding Risk in ICU Patients on Ventilators, Enabling Early Intervention

Researchers at Mount Sinai developed NutriSighT, an AI tool that predicts which critically ill ICU patients on ventilators face underfeeding risk during their first week of care. The study, published in Nature Communications, found that 41-53% of patients were underfed by day three, with the system updating predictions every four hours to help clinicians intervene earlier.

2 Sources

21 Dec 2025

Doctors warn AI companions threaten mental health as kids turn to chatbots for friendship

Physicians from Harvard and Baylor published a paper in the New England Journal of Medicine warning that AI companions designed to simulate emotional support create dangerous conditions for mental health. Children are using AI for companionship 42% of the time, with some conversations turning violent or sexual, according to a new report by Aura.

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09 Dec 2025

AI Co-Pilot for Bionic Hands Transforms How Amputees Control Prosthetics with Intuitive Grasping

University of Utah researchers developed an AI co-pilot for bionic hands that dramatically improves control for amputees. The system uses proximity and pressure sensors combined with artificial intelligence to enable natural, intuitive grasping. Success rates jumped from 10-20% to 80-90% in tests involving fragile objects, while significantly reducing the cognitive burden on users.

4 Sources

08 Dec 2025

AI models achieve breakthrough accuracy in diagnosing brain tumors from MRI scans

Two groundbreaking studies reveal AI's potential to transform brain tumor diagnosis. York University researchers developed an AI model achieving over 85% accuracy in distinguishing tumor progression from radiation necrosis, while Thomas Jefferson University's automated machine learning system reached 97% accuracy in differentiating pituitary macroadenomas from parasellar meningiomas using preoperative MRI scans.

2 Sources

01 Dec 2025

LTTS Partners with NVIDIA to Develop AI-Powered Digital Twin Platform for Respiratory Diagnostics

L&T Technology Services collaborates with NVIDIA to create an advanced AI-powered digital twin platform for respiratory diagnostics and lung navigation, utilizing deep learning models to generate 3D representations of lung anatomy for improved clinical precision.

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