Healthcare · Mon 9 Nov

Healthcare AI refers to software and machine learning systems deployed for patient care, diagnostics, drug discovery, and clinical administration. Truncated covers clinical trial results, software approvals, hospital adoptions, regulatory policies, and data privacy issues.

Monday 9 November

Five AI models tackled 227 pharmacy exam questions. Here's where they struggled

AI-generated summary Researchers at the University of the Pacific School of Pharmacy published a study in Scientific Reports comparing the accuracy of five large language models on 227 infectious disease examination questions. ChatGPT-4o-mini achieved the highest accuracy at 91.2 percent, while the evaluation showed that model performance declined on questions containing images.

Deerfield taps AWS to fuel healthcare AI ambitions

Large cross and glowing medical icons hologram. Concept of artificial intelligence in health care

AI-generated summary Investment firm Deerfield Management is collaborating with Amazon Web Services to use its cloud and AI technology to help healthcare and life sciences companies build and scale. Deerfield affiliate Ascertain is already using AWS infrastructure for its agentic AI platform that automates workflows like case management and prior authorization.

AWS’ $100 Million AI Bet Is on Reaching Patients, Not Replacing Doctors

AI-generated summary Amazon Web Services has launched a $100 million commitment to artificial intelligence, agentic services, and cloud infrastructure aimed at expanding healthcare access in underserved populations. Dr Rowland Illing says the initiative focuses on extending the reach of existing care providers and improving operational efficiency rather than replacing physicians.

Also covered by Amazon News TNW | Amazon Fierce Healthcare

Closing the last mile of value-based care with AI

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AI-generated summary athenahealth states that its Clinically Inferred Diagnosis Gaps uses generative AI to analyze chart information and surface potential gaps related to the CMS-HCC risk-adjustment model. athenahealth reports that its moment of care workflow allows payers to flag potential diagnosis gaps prior to upcoming appointments for clinician review.

NYU Langone’s PREVIA Flags PTSD Risk From Emergency Narratives

AI-generated summary NYU Langone Health announced that its PREVIA ensemble analyzed emergency-department trauma narratives to estimate one-month post-traumatic stress disorder risk in a 145-patient study. The system utilizes Whisper, Llama, Mistral, DeepSeek, and NVIDIA A100 GPUs to process patient recordings and demographic data without adding intake time.

Also covered by news-medical.net