AI has the potential to help save lives by transforming healthcare and medicine through the creation of more personalized, accessible and effective solutions. In collaboration with healthcare providers, researchers and industry partners, we’ve published research, created open-source tools, and built AI systems that have the potential to positively impact health outcomes for people globally. Enabling AI innovation in healthcare with open-weight models Building clinical-grade AI presents a significant challenge: organizations with specialized health data often lack the resources to create foundational models from scratch, while general-purpose models may not meet the standards for safe and reliable use in patient care. To accelerate innovation and foster novel solutions, we’ve released powerful, open-weight models to help developers build AI models for healthcare. This includes MedGemma, our most capable open model for multimodal medical text and image comprehension, and TxGemma, a collection of open models to accelerate the development of therapeutics. Exploring conversational AI with AMIE We’re imagining ways that AI systems could be useful conversational partners for clinicians and patients. Articulate Medical Intelligence Explorer (AMIE) is an experimental system which aims to combine clinical reasoning with conversational empathy. AMIE is an exploration into the art of the possible, where our research is testing novel ways for AI to safely support clinicians and patients. Unlocking personalized wellness insights Our research extends to the future of personalized wellness, exploring how AI can help interpret complex data from wearables and devices. This includes our work on our foundational Large Sensor Model (LSM), trained on the largest dataset of its kind to decode signals like heart rate and activity levels with remarkable accuracy. Additionally, our Personal Health LLM (PH-LLM), a version of the Gemini model fine-tuned for health, aims to empower people to understand their health and wellness data, set goals, and make informed decisions.

Improving tuberculosis screening with AI Partnering with Apollo Hospitals for better TB screening Each year, more than 10 million people become ill with TB and more than 1.3 million die from it worldwide. We’ve developed an AI system to interpret chest X-ray scans for early signs of TB. We’ve been working with Apollo Radiology International over the past few years to validate our AI systems in regions where they can have the most impact. Over the next 10 years, Apollo Radiology International will use these models to provide 3 million free AI-powered screenings for TB, lung cancer, and breast cancer — helping hundreds of thousands more people across India access timely care. Building blocks for next-generation healthcare apps Digital mobile health apps are capable of lowering the barrier to equitable healthcare. However, it’s costly and difficult for developers to build tools that share health information across systems and work well in areas that often lack reliable internet connectivity. Open Health Stack is a suite of open-source building blocks built on an interoperable data standard. This suite of components makes it easier for developers to quickly build apps allowing healthcare workers to access the information and insights they need to make informed decisions. Empowering healthcare workers in Kenya with technology Learn more about how IntelliSOFT used Open Health Stack to build Mama’s Hub, a maternal health app in Kenya that empowers patients, community health volunteers, and health systems.