All articles tagged with #digital health
Originally Published 5 days ago — by statnews.com
The FDA announced plans to ease regulation of digital health products, including AI-enabled clinical decision support software, to promote innovation and faster market entry, signaling a shift towards more Silicon Valley-style regulation in healthcare technology.
Originally Published 2 months ago — by Axios
Epic is ending its partnership program that involved taking a stake in Abridge, signaling a potential shift in its approach to competition in the digital health sector while maintaining a low profile on deals to avoid antitrust scrutiny.
Originally Published 3 months ago — by statnews.com
Telehealth has evolved from a tool for accessible medical consultations to a major marketing platform for direct-to-consumer drug sales, with ads for various medications like erectile dysfunction and weight loss drugs becoming ubiquitous in city environments, reflecting a shift towards drug-first approaches in digital healthcare.
Originally Published 3 months ago — by The New York Times
A recent study suggests that using smartphones on the toilet may increase the risk of hemorrhoids, with two-thirds of surveyed patients reporting such habits and a 46% higher risk observed among smartphone users. Doctors warn that this common behavior could have health implications.
Originally Published 3 months ago — by Vitalik Buterin's website
The article emphasizes the critical importance of full-stack openness and verifiability across various domains, including health, digital tech, and civic systems, to enhance security, trust, and individual empowerment in a rapidly digitalizing world. It advocates for open-source, transparent infrastructure and hardware verification to mitigate risks and foster innovation, aiming for a future where technology serves societal needs more equitably and securely.
Originally Published 4 months ago — by The Guardian
The article argues that AI has the potential to address many of the shortcomings of human doctors, such as diagnostic errors, outdated knowledge, and access issues, by providing consistent, rapid, and accurate medical insights, ultimately transforming healthcare delivery despite current challenges like digital divides and biases.
Originally Published 5 months ago — by ScienceAlert
Researchers have developed machine learning algorithms that can detect subtle vocal changes associated with vocal fold lesions, potentially enabling earlier diagnosis of laryngeal cancer through non-invasive voice recordings, especially in men, with future applications possibly extending to women and broader clinical use.
Originally Published 6 months ago — by STAT
Summa Health in Ohio tested an AI tool to predict sepsis in emergency departments, aiming to improve early detection amid overwhelmed staff and excessive false alerts from traditional systems, highlighting the potential and challenges of AI in clinical settings.
Originally Published 6 months ago — by Reuters
U.S. Health Secretary Robert F. Kennedy Jr. secured commitments from major insurers to simplify prior authorization processes, including digital submissions and reduced scope, aiming to improve healthcare efficiency and patient experience, with participation being voluntary and plans to standardize procedures by 2027.
Originally Published 6 months ago — by CNN
Samsung is expanding its digital health offerings with a new smartwatch update aimed at helping users monitor and improve their health as they age, including features like antioxidant measurement and personalized fitness coaching, to compete with Apple and other health tech companies.
Originally Published 7 months ago — by Investor's Business Daily
Hims & Hers Health's stock rose over 6% following the announcement of its pending acquisition of ZAVA, a European digital health platform, which will expand its presence into the UK, Germany, France, and Ireland, aiming to deliver personalized healthcare globally. The deal, expected to close in late 2025 and funded by cash, will add ZAVA's 1.3 million active customers and nearly 2.3 million consultations last year.
Originally Published 7 months ago — by statnews.com
AI-based mammography tools are increasingly being adopted in U.S. radiology practices, with some claiming to detect more cancers than radiologists alone, but skepticism remains among many imaging centers and radiologists about their trustworthiness and effectiveness.
Originally Published 7 months ago — by The Brighter Side of News
A new smartphone app called ECHAS aims to quickly identify symptoms of strokes and heart attacks, helping users decide when to seek emergency care. Developed by researchers from UVA, Harvard, and Northeastern, the app has shown promising results in early testing, accurately identifying emergency cases within minutes and being easy to use. While still in development, ECHAS has the potential to reduce delays in treatment, improve outcomes, and increase health equity by providing accessible, evidence-based guidance during medical emergencies.
Originally Published 1 year ago — by STAT
Digital mental health interventions (DMHIs) like apps for mental health support face a significant challenge: low user engagement, with 96% of users abandoning them within 15 days. Benjamin Kaveladze argues that the design of these apps needs a complete overhaul, moving away from traditional models to more innovative and engaging solutions. By collaborating with experts in behavior change and exploring new ideas through initiatives like crowdsourced studies, the field can develop more effective and appealing DMHIs. This shift requires a focus on creativity, rigorous evaluation, and ensuring safety and effectiveness before public release.
Originally Published 1 year ago — by Neuroscience News
A study published in the Journal of Medical Internet Research highlights a gamified app developed to reduce depressive symptoms by disrupting ruminative thinking. Conducted over eight weeks, the trial showed that participants using the app experienced faster and more significant symptom improvement compared to a control group, with benefits lasting up to four weeks post-study. This neuroscience-backed tool, developed at Harvard Medical School, offers a promising, accessible complement to traditional depression treatments.