Enhancing Clinical Decision Support and Patient Communication Using MedGemma and Open Health AI Models
4 Articles
4 Articles
Transforming Healthcare: A Review of AI Language Models
In the realm of healthcare, the integration of artificial intelligence (AI) is transforming how clinical decisions are made, patient data is managed, and overall health outcomes are optimized. A systematic review by Ghnemat and Saleh sheds light on one of the most promising advancements in medical AI—the utilization of large language models (LLMs). These sophisticated algorithms, which have achieved remarkable feats in natural language processin…
MedGemma 1.5: Google’s Open AI Unlocks 3D Scans and Clinical Speech for Healthcare Builders
Google Research has unleashed MedGemma 1.5, a 4-billion-parameter multimodal model that pioneers open-source interpretation of complex 3D medical images like CT and MRI scans, alongside text-based clinical reasoning. Released January 13, 2026, as part of the Health AI Developer Foundations program, the update addresses a critical gap in accessible tools for healthcare developers, enabling offline deployment in data-sensitive environments. Paired…
Enhancing Clinical Decision Support and Patient Communication Using MedGemma and Open Health AI Models
This research presents an intelligent healthcare application built using MedGemma and open Health AI Developer Foundation models to enhance clinical workflows, patient communication, and decision support. The study explores how domain-specific large language models can accurately interpret med...
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