Tags: digital health

Perplexity AI has rolled out Premium Health Sources, a new feature that pulls data from top medical journals such as the New England Journal of Medicine and BMJ Group. The move lets the chatbot cite trusted clinical guidelines and drug databases when users ask health questions, a segment that accounts for more than one in ten queries on the platform. Aimed at both everyday users and healthcare professionals, the upgrade promises evidence‑backed responses while stressing that it does not replace professional medical advice. Ler mais

Meta's Superintelligence Labs rolled out Muse Spark, a new generative AI model that can analyze users' personal health information, through the Meta AI app. The company says the tool was trained with input from more than 1,000 physicians and will soon appear on Facebook, Instagram and WhatsApp. Health experts warn that the service is not HIPAA‑compliant, may retain data for future training and could expose sensitive information, raising serious privacy and safety questions. Ler mais

More than 2,400 mental health providers at Kaiser Permanente in Northern California ended a 24‑hour strike, citing fears that artificial intelligence could replace their jobs. Workers reported that licensed clinicians are being shifted from triage to unlicensed staff using scripted apps, while AI tools are mainly handling administrative tasks such as billing and record updates. Experts from the American Psychological Association and digital psychiatry noted that AI solutions are not yet capable of fully replacing human therapy, but warned that the technology is rapidly entering mental‑health workflows with limited regulation. Ler mais

DeepRare, an AI system that combines 40 specialized tools and a reasoned workflow, outperformed seasoned physicians in a head‑to‑head study of rare disease diagnosis. The system identified the correct disease on its first suggestion 64.4% of the time versus 54.6% for doctors, and reached 79% accuracy when offering three suggestions compared with 66% for clinicians. Physicians endorsed the AI’s reasoning 95.4% of the time. Since its July 2025 launch, more than 600 medical institutions have accessed the platform, which aims to augment—not replace—human diagnosticians and could shorten the years‑long diagnostic odyssey for millions worldwide. Ler mais

OpenAI has introduced ChatGPT Health, a dedicated health‑focused tab within the ChatGPT app that offers users a safer way to ask medical questions, review lab results, and organize health information. The feature uses the same large language model as standard ChatGPT but adds stricter limits, physician‑reviewed responses, and extra encryption to protect sensitive data. It can sync with apps such as Apple Health and upload documents, yet it does not replace professional diagnosis or treatment. OpenAI stresses that the tool is for consumer wellness and is not HIPAA‑covered, while acknowledging ongoing risks like hallucinations and the need for user caution. Ler mais

Medical professionals are watching the rise of AI chatbots in health care with cautious optimism. Surgeons note that tools like ChatGPT can spread inaccurate medical advice, yet the upcoming ChatGPT Health aims to protect patient privacy and integrate with personal health apps. Experts warn about data security and regulatory gaps, while also highlighting the potential to streamline administrative burdens through AI‑enhanced electronic health records and insurer workflows. The debate centers on balancing patient safety with the promise of faster, more efficient care delivery. Ler mais

OpenAI announced the acquisition of Torch, a small health‑tech startup, for equity valued at $100 million. Torch’s four‑person team, which built a platform described as a "medical memory for AI," will join OpenAI as it expands its new ChatGPT Health service. The technology aims to unify scattered medical data—from doctor visits to wearable devices—into a single context engine for artificial‑intelligence analysis, positioning OpenAI to offer more comprehensive health‑focused AI tools. Ler mais

OpenAI introduced ChatGPT Health, an AI‑driven virtual clinic that can read electronic medical records and fitness data to offer personalized health advice. While the service promises clearer explanations of medical jargon and quicker insight into test results, experts and users voice strong concerns about data privacy, the lack of HIPAA coverage, and the risk of AI hallucinations. Trust, transparency, and regulatory safeguards are cited as essential before widespread adoption can be considered safe. Ler mais

OpenAI announced a new ChatGPT Health tab designed to handle medical questions in a dedicated, private space. The feature separates health chat history, offers encryption, multifactor authentication, and promises that health conversations will not be used to train the model. Users can link wellness apps such as Apple Health and MyFitnessPal. While the service is not intended for diagnosis or treatment, experts warn that the lack of HIPAA coverage could expose health data to inadequate protections. OpenAI says the tab is currently in beta and invites users to join a waitlist. Ler mais

OpenAI has launched ChatGPT Health, a new section within the ChatGPT app designed specifically for health‑related queries. Users can securely link medical records and wellness apps such as Apple Health, MyFitnessPal, and Peloton, allowing the AI to tailor responses to personal data. The tool is positioned as a support system rather than a diagnostic service, emphasizing that it should not replace professional medical care. OpenAI highlights extensive physician collaboration, layered security measures, and the ability for users to control data access and deletion. Access is currently limited to a waitlist, with broader rollout planned in the coming weeks. Ler mais

OpenAI announced a new feature called ChatGPT Health, creating a separate space for users to discuss health and wellness topics with the AI. The company says more than 230 million users ask health‑related questions each week, and the new product isolates those conversations from regular chats to protect context and privacy. ChatGPT Health can integrate data from popular wellness apps such as Apple Health, Function, and MyFitnessPal, but OpenAI stresses that health chats will not be used to train its models. The rollout is expected in the coming weeks. Ler mais

OpenAI says that 40 million people ask health‑related questions of ChatGPT each day, representing more than five percent of all prompts. A survey of U.S. adults who have used AI for health in the past three months shows that over half use the tool to explore symptoms, while many also rely on it for medical terminology and treatment options. OpenAI describes the chatbot as a "healthcare ally" and cites a real‑world case where a user helped coordinate urgent care for a family member abroad. The company acknowledges the risks of relying on AI for medical advice and says it is partnering with hospitals and researchers to improve safety and accuracy. Ler mais

AI psychosis is a non‑clinical term used to describe delusional or obsessive behavior tied to chatbot use. Experts say generative AI can reinforce existing vulnerabilities by validating users' ideas, potentially deepening psychotic symptoms in susceptible individuals. While the technology is not the root cause of psychosis, its design—often sycophantic and prone to hallucinations—creates echo chambers that may trigger or worsen mental health issues. Clinicians and researchers urge greater AI literacy, early detection of risky patterns, and the development of safety‑focused designs that treat chatbots as tools, not substitutes for human support. Ler mais

Artificial intelligence tools are being positioned to reshape the healthcare system by shifting care from a reactive model to proactive prevention, early detection, and streamlined operations. AI‑driven image analysis, predictive algorithms, and chat‑based triage can catch diseases earlier, guide patients to the right pathways, and free clinicians to focus on complex cases. Experts emphasize the need for specialist AI agents, hybrid human‑AI workflows, and rigorous safety monitoring to ensure accurate, trustworthy outcomes while reducing overall costs. Ler mais