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Robert F Kennedy Jr walks on stage during the Republican National Committee midterm convention in Dallas, Texas, on 10 September. Robert F Kennedy Jr walks on stage during the Republican National Committee midterm convention in Dallas, Texas, on 10 September. Health secretary calls for medical and lifestyle details to be sent to doctors and AI to address'chronic disease epidemic' Tue 29 Sep 2026 10.41 EDTLast modified on Tue 29 Sep 2026 11.13 EDT Robert F Kennedy Jr laid out an expansive vision for collecting, sharing and analyzing US health information at a Maha event hosted by a close ally and outspoken anti-vaccine activist. Medical and lifestyle data, from doctor's visits to exercise, should be connected and shared with the government and independent researchers, where it can be searched by AI - including potential links between vaccines and health outcomes including autism and mortality, suggested Kennedy, the secretary of the US Department of Health and Human Services (HHS) and a longtime vaccine skeptic. "We need to use America's health data to determine whether the food we eat, the chemicals we encounter, the vaccines that we're administering, the other environmental and lifestyle exposures are contributing in one way or another to the chronic disease epidemic," Kennedy said at an event with the Maha Institute on Monday, with about two dozen people tuning into the live stream.

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A man gets his Covid and flu vaccine shot at Boston city hall on 7 January 2026. A man gets his Covid and flu vaccine shot at Boston city hall on 7 January 2026. Adults in the US who frequently seek out health advice from artificial intelligence chatbots are more likely to believe myths about vaccines, according to a poll released on Tuesday by health research firm KFF. The survey, which was conducted in May and polled a representative sample of 2,480 US adults, found that use of AI tools and chatbots correlated with belief in falsehoods such as vaccines causing autism or that the measles vaccine poses more danger than the corresponding virus. The connection remained while controlling for factors such as age, race, education and political partisanship.

Google had said'What People Suggest' feature aimed to provide users with information from people with similar lived experiences. Google had said'What People Suggest' feature aimed to provide users with information from people with similar lived experiences. Google has dropped a new artificial intelligence search feature that gave users crowdsourced health advice from amateurs around the world. The company had said its launch of "What People Suggest", which provided tips from strangers, showed "the potential of AI to transform health outcomes across the globe". But Google has since quietly removed the feature, according to three people familiar with the decision.

The Guardian revealed how people were being put at risk of harm by false and misleading health information in Google AI Overviews. The Guardian revealed how people were being put at risk of harm by false and misleading health information in Google AI Overviews. Exclusive: England and Wales charity to examine safeguards after Guardian exposed'very dangerous' advice on Google AI Overviews'Very dangerous': a Mind mental health expert on Google's AI summaries Mind is launching a significant inquiry into artificial intelligence and mental health after a Guardian investigation exposed how Google's AI Overviews gave people "very dangerous" medical advice. In a year-long commission, the mental health charity, which operates in England and Wales, will examine the risks and safeguards required as AI increasingly influences the lives of millions of people affected by mental health issues worldwide. The inquiry - the first of its kind globally - will bring together the world's leading doctors and mental health professionals, as well as people with lived experience, health providers, policymakers and tech companies.

Google's AI Overviews only issue a warning if users choose to request additional health information, by selecting'Show more'. Google's AI Overviews only issue a warning if users choose to request additional health information, by selecting'Show more'. Google is putting people at risk of harm by downplaying safety warnings that its AI-generated medical advice may be wrong. When answering queries about sensitive topics such as health, the company says its AI Overviews, which appear above search results, prompt users to seek professional help, rather than relying solely on its summaries. "AI Overviews will inform people when it's important to seek out expert advice or to verify the information presented," Google has said .

How the'confident authority' of Google AI Overviews is putting public health at risk Experts say tool can give'completely wrong' medical advice which could put users at risk of serious harm Do I have the flu or Covid? Why do I wake up feeling tired? What is causing the pain in my chest? For more than two decades, typing medical questions into the world's most popular search engine has served up a list of links to websites with the answers. Google those health queries today and the response will likely be written by artificial intelligence.

Google has said AI Overviews, which use generative AI to provide snapshots of information on a topic or question, are'helpful and reliable'. Google has said AI Overviews, which use generative AI to provide snapshots of information on a topic or question, are'helpful and reliable'. 'Dangerous and alarming': Google removes some of its AI summaries after users' health put at risk Google has removed some of its artificial intelligence health summaries after a Guardian investigation found people were being put at risk of harm by false and misleading information. The company has said its AI Overviews, which use generative AI to provide snapshots of essential information about a topic or question, are " helpful " and " reliable ". But some of the summaries, which appear at the top of search results, served up inaccurate health information, putting users at risk of harm.

Mobile health (mHealth) programs utilize automated voice messages to deliver health information, particularly targeting underserved communities, demonstrating the effectiveness of using mobile technology to disseminate crucial health information to these populations, improving health outcomes through increased awareness and behavioral change. India's Kilkari program delivers vital maternal health information via weekly voice calls to millions of mothers. However, the current random call scheduling often results in missed calls and reduced message delivery. This study presents a field trial of a collaborative bandit algorithm designed to optimize call timing by learning individual mothers' preferred call times. We deployed the algorithm with around $6500$ Kilkari participants as a pilot study, comparing its performance to the baseline random calling approach. Our results demonstrate a statistically significant improvement in call pick-up rates with the bandit algorithm, indicating its potential to enhance message delivery and impact millions of mothers across India. This research highlights the efficacy of personalized scheduling in mobile health interventions and underscores the potential of machine learning to improve maternal health outreach at scale.