By Shania Kennedy
February 29, 2024 – Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this…
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Explore the groundbreaking fusion of Artificial Intelligence (AI) and Fast Healthcare Interoperability Resources (FHIR) in revolutionizing sepsis management. Through an end-to-end workflow, leveraging real-time predictive analytics and seamless integration into clinical workflows, healthcare providers…
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While 80-85% of sepsis cases present within the first 48 hours of admission, they have lower mortality (5-10%) compared with 15-20% of cases that present later and have higher mortality (15-30%).To better – and…
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Transforming Nursing Education: Seizing the Opportunity for AI and Technology AdvancementsBy Julie Stegman
Julie Stegman is vice president of the Health Learning and Practice business at Wolters Kluwer Health of Waltham, MA.
In…
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As the use of artificial intelligence expands across healthcare, there are plenty of justifiable worries about what looks to be a new normal built around this powerful and fast-changing technology. There are labor concerns, widespread distress…
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Northumbria University’s innovative use of virtual reality and simulation technologies in nursing education has been highlighted by Oxford Medical Simulation as an example of best practice.After Northumbria University invested in a state-of-the-art virtual reality…
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Sir Julian Hartley, CEO at NHS Providers and keynote speaker at Digital Health Rewired 2024, is the latest guest to join Jordan Sollof on Digital Health Unplugged.Hartley chats about his career journey to date…
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AI-driven systems have the potential to significantly improve patient assessments, treatment pathways, and diagnosis accuracy. However, their integration into healthcare settings requires a new focus for clinical digital risks necessitating careful consideration and a…
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Text messaging can promote healthy behaviors, like adherence to medication, yet its effectiveness remains modest, in part because message content is rarely personalized. Reinforcement learning has been used in consumer technology to personalize content…
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Large language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their ability to generalize to unseen tasks in more complex fields,…
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