Fantastic discussions at HLTH Europe on the future of health and healthcare.💡 We were thrilled to have Google leaders contribute to conversations on AI adoption, digital health, youth mental health and longevity. • Dr. Michael Howell, Chief Health Officer, explored how healthcare leaders can navigate the opportunities and risks of AI adoption, and determine where the technology can have the most meaningful impact. • Susan Thomas, Clinical Director, Health, discussed what it will take to move healthcare AI beyond pilots and into real-world use across health systems. • Dr. Vishaal Virani, Head of UK Health & Youth, joined a conversation on social media, youth mental health and how to protect young people online. • Lavanya Arora, Product Manager, discussed how to translate health and wearable data into meaningful actions for longer, healthier lives. Thank you to everyone who joined us in Amsterdam.
About us
Google for Health is committed to helping everyone live more life every day through products and services that connect and bring meaning to health information. We’re developing technology solutions to enable care teams to deliver better, faster and more connected care. We’re working on products and features to empower people to be healthier with the information, assistance, and connections they need to act on their health. And we’re exploring the use of artificial intelligence to assist in diagnosing cancer, predicting patient outcomes, preventing blindness and much more. Our work complements Google’s mission to organize the world’s information and make it universally accessible and useful
- Website
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https://health.google/
External link for Google for Health
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
Updates
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New publication from Google Research and Google DeepMind in Nature: We advance AMIE, our research medical AI, from one-off diagnostic conversations toward treating and managing disease over time, using clinical guidelines and drug formularies. In our randomized study, now published in Nature, we showed that AMIE demonstrated physician-level capabilities for treating and managing disease over sequential, multi-visit encounters with patient actors. The findings suggest that conversational medical AI systems like AMIE could one day help augment care and give doctors back time with their patients where it truly matters. While AMIE remains an experimental research system and is not ready for medical deployment, these peer-reviewed findings contribute to our strong commitment to evidence generation in AI for medical applications, offer an early look at how AI could help support long-term disease management. Learn more: https://goo.gle/3SaNXDW
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Heading to Amsterdam for HLTH Europe? Catch Google leaders on stage for conversations about the questions shaping healthcare today, from AI adoption and clinical innovation to youth mental health online and longevity.
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We’ll be at HLTH Europe for two days of lightning talks, demos and conversations on how AI and digital tools can help support the future of healthcare. Across seven lightning talks, Google experts will cover topics including open health AI models, conversational analytics, YouTube Health, medical imaging, AI orchestration and more. In between talks, explore demos from Google Cloud, YouTube Health and MedGemma, and grab a coffee from our robotic barista. Swipe through for the lightning talk schedule, and see you at the Google booth A20 on 16��17 June.
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We’re sharing new research that explores how smartphones could help make heart health tracking more accessible. Our passive heart rate monitoring system (PHRM) uses short facial videos captured by the front-facing camera during everyday smartphone use to estimate heart rate and resting heart rate. Validated in both lab and real-world settings with diverse, consented research participants, the research shows how smartphone sensors could offer health insights in new ways. Read more about this study from Google Research, published in Nature: https://goo.gle/43QkvFE See the research: https://goo.gle/43cUJeH
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In case you missed it: The Fitbit app is now the Google Health app, and it’s now available for all users. The app brings together your health data, from wearable devices, Health Connect, and Apple Health into a single place. Download the latest version today: Google Play Store ➡️ https://goo.gle/4uBZRVK App Store ➡️ https://goo.gle/49lLdJI
Today, we announced a new go-to hub for your health and wellness, plus a brand new wearable. 💪 The Google Health app combines everything you know and love about the Fitbit experience with advanced new capabilities and better insights, so you can understand the "why" behind your health trends. It’s free to use and integrates with hundreds of other apps and devices, like your Peloton or meal-logging apps. 📈 After six months in Public Preview, the Google Health Coach will also start rolling out to Google Health Premium subscribers in the coming weeks, offering even more personalized analysis and suggestions. Google Health Premium benefits will also be included in Google AI Pro and Ultra plans. 👟 We’re also introducing our first screenless wearable: the Fitbit Air. It’s simple, comfortable and notification-free, with a battery life of up to a week and a variety of band styles for every mood and occasion. Available for pre-order today starting at $99.99. Learn more about all the updates coming to Google Health → https://goo.gle/49icyMA * Works with most phones running on Android 11 or higher and Apple iOS 16.4 or higher. Requires Google Account and Google Health app. Not intended for medical purposes. See g.co/health/fitbit-air for details. * Battery life depends upon many factors and usage and actual battery life may be lower. See g.co/fitbit/battery.
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While speed saves lives in the healthcare and life sciences sectors, navigating complex regulatory landscapes often slows time-to-market for Software as a Medical Device (SaMD). Consequently, manufacturers face significant administrative friction when deploying crucial innovations such as AI-driven cancer detection, mobile MRI diagnostics, and insulin dosage calculators. To build at this level of complexity and scale, healthcare engineering leaders need a foundation that prioritizes absolute system velocity alongside uncompromised platform trust. In Google Cloud's latest deep dive, Tamara R. and RK Neelakandan outline how Compliance as Code helps teams embed operational quality directly into deployment pipelines. Rather than treating validation as a manual gate, trust becomes an automated, continuous byproduct of how the system runs. Our new whitepaper introduces a scalable Three-Plane Architecture — spanning data, control, and evidence — designed to power high-performance health technology. 👉 Explore the architectural blueprint in our latest blog: https://goo.gle/3RnUSt1 📥 Download the full whitepaper, Building Software as a Medical Device (SaMD) on Cloud Infrastructure: https://goo.gle/4wJOn3R
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At Google I/O, we shared how researchers worldwide are using Google’s agentic models to drive discovery and tackle pressing scientific challenges. We also announced Gemini for Science, a collection of new experimental tools developed by teams from Google Research, Google Labs, Google DeepMind, and Google Cloud. Among the tools are Computational Discovery, an agentic research engine, and Hypothesis Generation, which collaborates with scientists to define research challenges and uses a multi-agent “idea tournament” to help generate, debate and evaluate hypotheses. Learn more about how we’re supercharging scientific research: https://goo.gle/4tGUAeh
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This Mental Health Awareness Month, we’re focused on making it easier for people to find the help they need. Learn more about Google's recent mental health work, including updates to Gemini to help streamline the path to support for those who need it, along with $30 million in funding from Google.org to support crisis hotlines around the world. ➡️ https://goo.gle/4dJX0E0
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Medicine has always been a team sport, and AI agents can bring more teammates onto the field: extending clinicians’ reach while ensuring they retain judgment and control. This serves as the foundation of Google DeepMind's AI co-clinician: a research initiative exploring the potential for real-time multimodal AI as an assistive component of the care team. The research evaluated how well AI co-clinician might support clinicians by surfacing high-quality evidence. We're also investigating how AI co-clinician performs in a patient-facing research context through simulated telemedical settings with patient actors. Learn more about this new research initiative: https://goo.gle/4toGVbp
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