A new feature, “What People Suggest,” organizes different perspectives from online discussions into easy-to-understand themes, helping users quickly grasp what people say on specific health topics.
Google is introducing a new feature to its Search platform that incorporates user suggestions from online discussions to provide answers to health-related questions. When users search for queries like “Why does my leg hurt?” Google will display results in sections designed for medical advice, summarizing information from various sources, including medical journals and credible posts. A new section called “What people suggest” will soon appear, drawing information from general discussion posts on social media platforms such as Twitter, Reddit, and Quora.
The suggestions will be summarized into quick notes, with dropdown arrows for more details and source credits.
We’ve partnered with @NVIDIA for years with the goal of making AI more helpful and accessible. Learn more about how we’re expanding the collaboration across Alphabet at #GTC25 this week ↓ https://t.co/5OcEyoZZim
— Google (@Google) March 18, 2025
We’ve partnered with @NVIDIA for years with the goal of making AI more helpful and accessible. Learn more about how we’re expanding the collaboration across Alphabet at #GTC25 this week ↓ https://t.co/5OcEyoZZim
— Google (@Google) March 18, 2025
AI can help us advance science and build products to improve health outcomes for everyone, everywhere. Here are 6 updates we shared at The Check Up, our annual @GoogleHealth event ↓ https://t.co/khDLnbEGCb
— Google (@Google) March 18, 2025
While AI will power these search suggestions, Google emphasizes the importance of source verification, as there is a chance that some information may not be entirely reliable. However, this feature is expected to enhance the breadth of information available to users seeking medical advice.
The “What people suggest” feature is currently rolling out to mobile devices in the US.
TxGemma comprehends regular text and the structures of therapeutic entities, helping researchers predict the properties of potential new therapies, such as safety and efficacy. Lastly, Google is collaborating with the Princess Máxima Center for Pediatric Oncology in the Netherlands to develop an AI tool called Capricorn. Utilizing Gemini models, Capricorn helps physicians accelerate the identification of personalized cancer treatments by analyzing vast public medical and de-identified patient data.
Health knowledge panel answers are being expanded + a new SERP feature called "What People Suggest" -> Google launches new healthcare-related features for Search, Android
"In Search, Google says it’s using AI and ranking systems to expand “knowledge panel” answers on thousands… pic.twitter.com/FfDQQV68yM
— Glenn Gabe (@glenngabe) March 18, 2025
Oh boy, that's not good. Hopefully that gets fixed asap -> People are using Google’s new AI model to remove watermarks from images https://t.co/nKVAUVxLI4 pic.twitter.com/Smd3CYRPWP
— Glenn Gabe (@glenngabe) March 17, 2025
Health-related user suggestions summarized
At its annual event, The Check Up, Google shared six key updates on using AI to advance science and build products to improve health outcomes globally. First, Google has expanded its AI Overviews in Search to cover thousands more health topics. It is rolling out these updates in more countries and languages, including Spanish, Portuguese, and Japanese, starting on mobile devices.
Second, Google launched new Medical Records APIs globally in Health Connect, enabling apps to read and write medical record information like allergies, medications, immunizations, and lab results in a standardized format.
Health Connect now supports over 50 data types, making it easier to connect everyday health data with data from healthcare providers.
Third, Google recently received FDA clearance for a feature that detects when a user has experienced a loss of pulse and automatically prompts a call to emergency services if the user is unresponsive. This feature will begin rolling out in the U.S. at the end of March.
Fourth, Google introduced an AI co-scientist built on Gemini 2.0 to assist biomedical researchers in creating novel hypotheses and research plans. This system helps researchers parse large volumes of scientific literature and generate high-quality hypotheses. Fifth, Google announced TxGemma, a collection of AI-based open models to improve AI-powered drug discovery.
These updates highlight the transformative potential of AI in healthcare, with more innovations on the horizon.
Photo by; Luis Melendez on Unsplash







