Health AI
AI has the potential to help save lives by transforming healthcare and medicine through the creation of more personalized, accessible and effective solutions. This is particularly true in more resource challenged communities where there is often a shortage of healthcare workers. 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. With bold innovation that's responsibly developed, AI stands to be a powerful force for health equity, improving outcomes for everyone, everywhere.
Explore how teams at Google are catalyzing the adoption of human-centered AI in healthcare.
MedLM
MedLM
A suite of AI models designed for the medical domain
Building on innovations from Med-PaLM, the first large language model to reach expert performance on medical licensing exam-style questions, MedLM is our collection of medically-tuned large models for commercial applications. MedLM can complete a wide range of complex tasks, ranging from answering medical questions, to summarizing dense medical information, to deriving insights from unstructured data. It is now available to Cloud customers through Vertex AI.
Mammography
Mammography
Improving breast cancer screening with AI
Breast cancer is the most common form of cancer globally, and early detection through breast cancer screening can lead to better chances of survival. Working with healthcare partners like Northwestern Medicine, we developed an AI system that integrates into breast cancer screening workflows to help radiologists identify breast cancer earlier and more consistently. Our published research shows that our technology can identify signs of breast cancer as well as trained radiologists. We are now bringing this research to reality by partnering with iCAD to embed this technology in clinical settings.
Ultrasound
Ultrasound
Expanding access to ultrasound with AI
Ultrasound is a versatile and increasingly more accessible early disease detection tool, providing real-time dynamic views of major organ systems. We are developing AI models to make it easier to interpret important health information from ultrasound images. Notably, we are focusing on maternal ultrasound and partnering with Jacaranda Health in Kenya to improve our AI models. Our goal is to expand access to care in areas where access to trained sonographers is limited.
Open Health Stack
Open Health Stack
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.