According to Omar Sanseviero and Jeff Dean on Twitter, Google Research has released MedGemma 1.5, an open-access multimodal AI model with significant accuracy improvements in medical tasks, including high-dimensional medical imaging, electronic health records (EHRs), and anatomical localization with bounding boxes (source: research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr). Additionally, the launch of MedASR, a specialized medical speech recognition model, delivers low error rates for transcribing clinical conversations, offering substantial value to healthcare providers and researchers. These advancements present new business opportunities for healthcare AI startups and hospitals aiming to increase workflow efficiency, reduce diagnostic errors, and unlock new revenue streams through advanced medical AI applications.

According to Sundar Pichai on Twitter, Google has announced the availability of Med-GEMMA 1.5 and MedASR through Hugging Face and Vertex AI on Google Cloud (source: Sundar Pichai, Jan 13, 2026; research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr). Med-GEMMA 1.5 is an advanced medical image interpretation model, while MedASR provides accurate medical speech-to-text capabilities. These AI tools are designed to streamline clinical workflows, improve diagnostic accuracy, and enable scalable healthcare AI applications. Their release on popular platforms like Hugging Face and Google Cloud Vertex AI lowers barriers for healthcare providers and AI developers, accelerating the adoption of AI-driven medical solutions in research and commercial settings.