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.