Value, not AI hype, enables digital health success
Value, not AI hype, enables digital health success | Healthcare IT News
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Continue ReadingValue, not AI hype, enables digital health success | Healthcare IT News
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Continue ReadingMayo Clinic Platform has developed tools that enable users to find new diagnostic and treatment solutions.
By John Halamka, M.D., Diercks President, Mayo Clinic Platform and Paul Cerrato, MA, senior research analyst and communications specialist,…
Continue ReadingLessons from a life in digital healthcare innovation | Mobi Health News
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Continue ReadingMore than 600 expectant parents have signed up to a study at Sheffield Teaching Hospitals NHS Foundation Trust, as part of nationwide plans to screen 100,000 babies for more than 200 rare genetic conditions…
Continue ReadingAndrew Davies, executive director, digital health at the Association of British HealthTech industries (Credit: ABHI)
Digitally replicating what we do today will not be enough to deliver an NHS online hospital service, warns…
Continue ReadingTo address the diversity of skin conditions and the low prevalence of skin cancers, we curated a large hospital dataset (National Information Society Agency, Seoul, Korea [NIA] dataset; 70 diseases, 152,443 images) and collected…
Continue ReadingPatients will be signposted to alcohol advice from Drinkaware through the AI Surgery Assist chatbot, used by GP surgeries across the UK.
Through a partnership between X-on Health and the UK alcohol charity, patients engaging…
This systematic review explores the relationship between digital biomarkers, measured using wearable devices, and fatigue in patients with chronic diseases. Studies included in this review focused on individuals with diseases or conditions in 13…
Continue ReadingDr Alec Price-Forbes, national chief clinical information officer for England (Credit: Jordan Sollof)
NHS England is launching a national ambient voice technologies (AVT) self-certified registry for suppliers to show evidence of compliance, England’s national…
Continue ReadingRecent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-based LLM to predict…
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