OpenAI has expanded its ChatGPT Health feature to all logged-in U.S. users aged 18 and older across its Free, Go, Plus and Pro subscription tiers, broadening its push into consumer healthcare even as the company faces mounting legal and regulatory scrutiny over AI-generated medical advice.
The rollout, available on the web and iOS, comes just one day after a Florida-based pastor filed a lawsuit against OpenAI, alleging that ChatGPT provided dangerous medical guidance that nearly proved fatal after advising against consulting a doctor. The case has renewed concerns about the growing role of generative AI in healthcare and the potential risks of users relying on chatbots for medical decisions.
The move comes as companies race to position their chatbots as personalized health assistants while simultaneously emphasizing that the technology should not replace licensed healthcare professionals. OpenAI first began testing ChatGPT Health through a dedicated health hub in January, allowing users to connect personal health information from services including Apple Health, Function, MyFitnessPal, Epic, Oracle Health, One Medical and Function Health.
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Initially, users were required to access the dedicated health hub for medical-related conversations. Under the expanded rollout, health information stored within the feature can now be referenced across general ChatGPT conversations, allowing users to receive personalized responses to broader lifestyle questions, such as whether a meal aligns with dietary restrictions or whether an ingredient could trigger an allergy.
The company said the change was prompted by user behavior during the testing phase.
According to OpenAI, roughly 70% of health-related conversations occurred outside the dedicated health hub, suggesting users naturally seek medical and wellness advice within everyday interactions rather than through specialized interfaces.
Demand for AI-assisted health information has also continued to accelerate.
OpenAI said ChatGPT now handles approximately 300 million health-related queries every week, up from 230 million weekly queries when the feature entered testing earlier this year. The increase highlights the growing willingness of consumers to use AI as a first stop for questions ranging from nutrition and fitness to symptoms and chronic disease management.
OpenAI said users can now draw insights from connected health information across all conversations, enabling more personalized recommendations while keeping the experience within ChatGPT’s standard interface. The company also said its latest AI models have improved significantly in medical reasoning.
According to OpenAI, GPT-5.6 Luna, the smallest model in its newest generation of AI systems, outperformed GPT-5.5 on HealthBench, an open-source benchmark the company developed to evaluate large language models on healthcare-related questions. OpenAI said it collaborates with physicians to improve the quality and safety of health responses and reiterated that users’ personal health information is not used to train its AI models, an important assurance as privacy concerns remain central to healthcare AI adoption.
Even so, the company has continued to distance itself from the role of a medical provider.
Its terms of service state that ChatGPT is “not intended for use in the diagnosis or treatment of any health condition.” The company has cited those disclaimers in responding to the recent lawsuit and has separately told The New York Times that it is continuing to strengthen safeguards around health and medicine-related responses.
As part of the nationwide rollout, OpenAI said it encourages users to verify information independently and make healthcare decisions only after consulting qualified medical professionals.
There is a growing race among major AI developers to establish themselves in digital healthcare. Google has integrated medical capabilities into its Gemini models and Search products, while Anthropic has also introduced health-related AI features aimed at improving access to medical information.
Healthcare represents one of the most commercially attractive opportunities for generative AI. The sector generates vast amounts of structured and unstructured data, faces chronic shortages of medical professionals and increasingly relies on digital tools for patient engagement, making it a natural target for AI assistants capable of synthesizing information and personalizing recommendations.
However, the industry also presents some of AI’s highest risks.
Numerous academic studies have found that large language models can produce inaccurate, misleading, or fabricated medical information, particularly when handling complex diagnoses, rare diseases, or emergency situations. Researchers have also warned that AI systems may present incorrect answers with unwarranted confidence, making it difficult for non-experts to distinguish reliable guidance from potentially dangerous misinformation.
Those concerns have prompted regulators and policymakers to scrutinize how AI companies market health-related features. The lawsuit against OpenAI is likely to add to that pressure by testing the extent to which developers can rely on disclaimers while simultaneously promoting AI tools that increasingly function as personal health assistants.