Clinicians and patients are using artificial intelligence more and more to help diagnose illness and injuries, but many in the healthcare industry see the technology's adoption as a double-edged sword. A new study of over 2,000 medical professionals found that the adoption of generative AI tools is becoming far more prevalent in healthcare, but that misinformation about conditions and diagnoses was also impacting patients.
A 61-year-old man who was sucked into an MRI machine on Long Island while wearing a metal neck chain has died from his injuries, authorities said Friday. The freak accident happened Wednesday at Nassau County Open MRI in Westbury when the man was pulled into the magnetic resonance imaging machine by his 'large metal chain,' Nassau County cops said.
A novel AI-powered retina tracker can analyze retinal images with near-perfect accuracy in under one second, according to a study presented Monday at ENDO 2025, the Endocrine Society's annual meeting in San Francisco. The researchers say the findings offer hope for sight-saving screenings for diabetic retinopathy and other eye diseases that are fast, affordable, and accessible worldwide.
Google's new releases include MedGemma 27B Multimodal, which processes both text and images and MedSigLIP, a lightweight image and text encoder designed for medical applications. Both models form part of Google's Health AI Developer Foundations program, which provides developers with open-source starting points for healthcare software development.
The technology sector experienced a powerful resurgence in growth in the second quarter of 2025, driven by strength in robotics, AI, and healthcare technology. This impressive performance comes amidst a complex global economic landscape, as the World Bank recently downgraded its 2025 global growth outlook. Despite lingering global economic uncertainties and persistent tariff concerns, the ROBO Global index family recorded significant gains, signaling a broader renaissance in transformative technologies poised to reshape industries worldwide.
Artificial intelligence has firmly established itself in the world of medicine. In diagnostic imaging, its use means greater precision, faster analysis, and improved patient care. Systems that support radiologists make a real contribution to the early detection of diseases, better interpretation of examination results, and more efficient management of clinical data.