Health
Apple Watch to Launch Hypertension Detection Feature Amid Expert Caution
Apple is preparing to roll out a new feature for its smartwatch that it says could help identify millions of people living with undiagnosed high blood pressure. But cardiologists are warning users not to over-rely on the technology, stressing that the alerts should not replace traditional medical assessments.
The new function, which is pending regulatory approval, will use the Apple Watch’s light sensor to analyze how a wearer’s blood vessels respond to their heartbeat. If the system consistently detects patterns associated with hypertension, or chronic high blood pressure, it will issue an alert.
Unlike a conventional blood pressure cuff, the smartwatch will not provide specific readings. Instead, users who receive alerts will be encouraged to monitor their blood pressure with a cuff over a week and consult a doctor with the results. Apple said it expects to identify more than one million cases of previously undiagnosed hypertension in the feature’s first year.
Hypertension is one of the world’s most widespread but often silent health risks. The World Health Organization estimates that around 1.3 billion adults globally have high blood pressure, but nearly half remain unaware of their condition. Left untreated, hypertension significantly increases the likelihood of heart attacks, strokes, and kidney disease.
Apple plans to introduce the feature in more than 150 countries and regions, including the European Union, once approval is granted. It will be available on the Apple Watch Series 9 and later models, including the Apple Watch Ultra 2 running watchOS 26.
Health experts say that while the innovation could raise awareness, it comes with clear limitations. Dr. Felix Mahfoud, chair of the cardiology department at the University Hospital Basel in Switzerland, cautioned that smartwatch alerts should not be mistaken for precise medical measurements.
“I can tell you what it means if we measure your blood pressure in a doctor’s office, in terms of your risk of stroke and other health issues,” Mahfoud said. “But all this is basically unknown for detection by smartwatches. No one should ever base any treatment or management decision on a smartwatch.”
Apple’s own trials, involving over 2,200 participants, highlighted both the promise and the constraints of the feature. The watch demonstrated a sensitivity rate of around 41 percent — meaning it correctly identified less than half of hypertension cases — and a specificity rate of about 92 percent, suggesting a low likelihood of false alarms.
The company has also emphasized that the feature is not suitable for everyone. It will not be recommended for people under 22, pregnant women, or those already diagnosed with hypertension.
Still, experts believe it could play a valuable role in increasing public awareness. “It’s great if we can increase awareness of hypertension, and hopefully these tools will do that,” Mahfoud said.
Health
Study Finds AI Systems Can Repeat Fake Medical Claims When Framed Credibly
“Large language models accept fake medical claims if presented as realistic in medical notes and social media discussions, a study has found.”
As more people turn to the internet to research symptoms, compare treatments and share personal health experiences, artificial intelligence tools are increasingly being used to answer medical questions. A new study warns that many of these systems remain vulnerable to medical misinformation, particularly when false claims are presented in authoritative or realistic language.
The findings, published in The Lancet Digital Health, show that leading artificial intelligence systems can mistakenly repeat incorrect medical information when it appears in formats that resemble professional healthcare documents or trusted online discussions. Researchers analysed how large language models respond when faced with false medical statements written in a credible tone.
The study examined responses from 20 widely used language models, including systems developed by OpenAI, Meta, Google, Microsoft, Alibaba and Mistral AI, as well as several models specifically fine-tuned for medical use. In total, researchers assessed more than one million prompts designed to test whether AI would accept or reject fabricated health information.
Fake statements were inserted into real hospital discharge notes, drawn from common health myths shared on Reddit, or embedded in simulated clinical scenarios written to resemble authentic healthcare guidance. Across all models tested, incorrect information was accepted around 32 percent of the time. Performance varied significantly, with smaller or less advanced models accepting false claims in more than 60 percent of cases, while more advanced systems, including ChatGPT-4o, did so in roughly 10 percent of responses.
The researchers also found that medical fine-tuned models performed worse than general-purpose systems, raising concerns about tools designed specifically for healthcare use.
“Our findings show that current AI systems can treat confident medical language as true by default, even when it’s clearly wrong,” said Eyal Klang of the Icahn School of Medicine at Mount Sinai, one of the study’s senior authors. He added that how a claim is written often matters more to the model than whether it is accurate.
Some of the accepted misinformation could pose real risks to patients. Several models endorsed claims such as Tylenol causing autism during pregnancy, rectal garlic boosting immunity, mammograms causing cancer, and tomatoes thinning blood as effectively as prescription medication. In another case, a discharge note incorrectly advised patients with oesophageal bleeding to drink cold milk, which some models repeated without flagging safety concerns.
The study also tested how AI systems responded to flawed arguments known as fallacies. While many fallacies prompted scepticism, models were more likely to accept false claims framed as expert opinions or warnings of catastrophic outcomes.
Researchers say future work should focus on measuring how often AI systems pass on falsehoods before they are used in clinical settings. Mahmud Omar, the study’s first author, said the dataset could help developers and hospitals stress-test AI tools and track improvements over time.
The authors said stronger safeguards will be essential as AI becomes more deeply embedded in healthcare decision-making.
Health
Moderate Caffeine Intake Linked to Lower Dementia Risk, Study Finds
Health
Growing Research Links Tattoos to Possible Cancer Risks, Experts Say
Tattoos are more popular than ever, but a growing body of research suggests a connection between permanent ink and certain types of cancer. How concerned should the public be?
From tribal sleeves to lower-back butterflies, humans have been inking their skin for thousands of years. For most, the main concern has been the fear of future regrets. However, recent studies suggest that tattoos could carry more serious long-term health risks.
The popularity of tattoos has risen sharply in recent years. Research published in the European Journal of Public Health estimates that between 13 and 21 percent of people in Western Europe now have at least one tattoo. Despite this prevalence, relatively little is known about the potential long-term effects of permanent ink.
Previous studies have shown that tattoo pigments can accumulate in the lymph nodes, sometimes causing inflammation and, in rare cases, lymphoma—a type of blood cancer. A 2025 study by the University of Southern Denmark (SDU) expanded on this, reporting that individuals with tattoos may face higher risks of skin cancer and lymphoma. Using a cohort of randomly selected twins, the researchers found that tattooed participants had nearly four times the risk of skin cancer compared with their non-tattooed siblings.
The study also suggested that tattoo size could affect risk, with designs larger than the palm associated with higher hazard rates.
“We have evidence that there is an association [between the amount of ink and risk] for lymphoma and for skin cancer,” said Signe Bedsted Clemmensen, co-author of the study and assistant professor of biostatistics at SDU. “For lymphoma, the hazard rate is 2.7 times higher, so this is quite a lot. And for skin cancers, before it was 1.6 and now it’s 2.4. This indicates that the more ink you have, the higher the risk, the higher the hazard rate.”
Clemmensen emphasized that these findings remain preliminary, with many variables—including ink types, tattoo placement, and genetic and environmental factors—still under investigation. “The bottom line is, more research is needed,” she said. “But also, the next step I think is studying the biological mechanisms [of getting tattooed] and trying to understand what happens there.”
Experts also note other risks unrelated to cancer. Tattoo inks consist of pigments combined with a carrier fluid to deposit color into the dermis. Some inks, often imported, can contain trace amounts of heavy metals such as nickel, chromium, cobalt, and lead, which can trigger allergic reactions or immune sensitivity. In 2022, the European Union restricted more than 4,000 hazardous substances in tattoo inks under its REACH regulations.
While tattoos are generally considered safe when applied hygienically, the long-term health consequences remain uncertain. “It’s up to each of us how we choose to live our lives, right? But as a researcher, it’s also my job to inform people of these risks,” Clemmensen said. “Or, when it comes to tattooing, right now it’s more about informing people about how little we know.”
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