Last week, at the Lake Nona Impact Forum for Advancing Global Health, I discussed the potential of AI to meaningfully improve health care and Advance Science. Our recent AI breakthrough provides unprecedented opportunities to make healthcare more accessible, personalized and effective for all and to significantly speed up scientific discovery. Here is an update on our progress, how we collaborate with partners to bring AI to global health settings and our recently announced AI-CO scientist.
AI makes accurate health information more available
Google is often the first place people turn to when looking for answers to health -related questions, so we strive to ensure that everyone has access to relevant health information in high quality in their needs. Using Lens, people can take a picture to seek skin conditions that visually resemble what they look at their own skin, and on YouTube, we piloted AI tools with healthcare creators and organizations such as Cleveland Clinic to make it easier for them to publish high quality authoritative content.
For care providers, we launched MEDLM and search for healthcare that can answer medical questions. These are available on the Google Cloud Vertex AI platform, which helps clinicians make more informed decisions and help patients receive the exact care they need. Our research in medical factuality ensures that health -related content generated by language models is as reliable and grounded in actual sources as possible.
Generative AI paves the way for personal healthcare
With progress in multimodality and conversation -Ai, we are able to reimbursing patient care and how it can be adapted to anyone with emphasis on preventative healthcare.
From X -rays to digital health registers, medicine is multimodal. Based on our MEDLM research, we developed MED-Gemini, next generation models for healthcare that has Gemini’s superior multimodal and reasoning and is fine-tuned on the-identified medical data. In published research, MED-Gemini achieved 91.1% accuracy on American questions about medical exam style, and we demonstrated how the models can effectively interpret 3D scans or answer complex clinical questions.
We are investigating how AI systems could serve as a conversation diagnostic partners in clinical surroundings using Articulate Medical Intelligence Explorer (Amie), a research -Ai system optimized for diagnostic justification and conversations. It is designed to take a “clinical story” and ask intelligent questions to help derive a differential diagnosis and deal with discussions with empathy, including in subspecialist domains.
Mobile and portable devices are another promising area where generative AI models could provide personal insights to both healthcare and wellness using data such as trine and heartbeat. We designed the great language model of the personal health, another fine-tuned version of Gemini, which can interpret sensor data and generate insights and recommendations about a person’s sleep and fitness patterns.
AI improves health results globally
Early diagnosis of illness is critical of improving health results. Over the past decade, we have utilized AI’s imaging and diagnostic capabilities and developed AI models to help detect diseases, including breast cancer, lung cancer and diabetic retinopathy. Through partnerships, we are now bringing these solutions to scale to clinical environment so that more patients can benefit from timely and accurate screenings. The effect is especially in -depth in medical environment with low resource and countries with fewer specialized doctors per day. Inhabitant. Over the next decade, our health technology partners in India and Thailand are aiming to deliver 6 million diabetic retinopathy screenings at no cost to patients, and Apollo Radiology International will build on our AI models to provide 3 million free screenings throughout India for tuberculosis, pung cancer and breast cancer. Adding to our various initiatives to tackle mothers’ health in Africa, we also develop an ML model for cardiotocography used to predict fetal well-being and explore its usability in medical environment with limited resources.
We also lay the technological foundations for wider access to healthcare. Our Health-I-Developer Foundations include open weight models and resources to help developers build AI models for healthcare more effectively. And solutions driven by our open health stack (OHS) -A pack of open source tools that make it easier for developers to create the next GEN Digital Health Solutions for Health Workers-has already been deployed across regions in Africa, South Asia and Southeast Asia to support frontline health workers serving millions of patients.
AI accelerates scientific discovery
Medicine is rooted in science. Based on AI’s ability to synthesize information and perform complex reasoning tasks, we are exploring how it can increase the scientific and biomedical discovery through our work with AI-CO scientist, a multi-agent AI system based on Gemini 2.0. AI-CO scientist is designed to act as a collaborative tool for researchers. It is intended to reveal new, original knowledge and help researchers formulate new research hypotheses and suggestions, build on prior evidence and tailored to specific research goals. It has already shown potential in areas, such as drug -disturbing for acute myeloid leukemia, which suggests hypotheses for new liver fibrosis treatment and explanation of mechanisms for horizontal re -transfer underlying antimicrobial resistance – each is a complex use and presents another set of challenges.
We continue to realize AI’s incredible potential to promote science and improve, personalize and democratize access to healthcare. The “magic cycle” where we achieve breakthroughs and translate them into the effect of the real world, accelerate and expand in scope. We are pursuing this opportunity responsibly in collaboration with global partners and continuing to share our research-in 2024 we published more than 50 papers where we shared advanced health survey, and we recently shared our 2025 Health Impact Report. In the end, we believe that AI will continue to help promote healthcare and science in favor of billions of people.