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AI could Help Emergency Rooms Predict Admissions

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the Mount Sinai Health System.

By giving clinicians advance notice, this approach may enhance patient care and the patient experience, reduce overcrowding and "boarding" (when a patient is admitted but remains in the ED because no bed is available), and enable hospitals to direct resources where they’re needed most.

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NHS Active 10 Walking Tracker Users are More Active After Using the App

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to researchers from the University of Cambridge.

In a study published in npj Digital Medicine, the researchers found that while activity levels then slowly declined over time, even after 30 months those users who were still using the app were more active than they had been beforehand.

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Brain Imaging may Identify Patients Likely to Benefit from Anxiety Care App

By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from a clinical trial led by Weill Cornell Medicine and NewYork-Presbyterian investigators. The preliminary study suggested that young people with weaker connections between two brain areas involved in both attending to and regulating responses to anxiety were more likely to benefit from a self-guided anxiety care app than those with stronger connections.

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Deep Learning-Based Model Enables Fast and Accurate Stroke Risk Prediction

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional manual segmentation remains time-consuming and operator-dependent, whereas current computer-aided tools fall short in achieving the accuracy required for clinical applications.

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The Human Touch of Doctors will Still be Needed in the AI Healthcare Revolution

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients.

Healing with Artificial Intelligence, written by technology expert Daniele Caligiore, uses the latest science research to highlight key innovations assisted by AI such as diagnostic imaging and surgical robots.

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New AI Tool Illuminates "Dark Side" of the Human Genome

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass of proteins called microproteins. Microproteins have been lost in the 99% of DNA disregarded as "noncoding" - hiding in vast, dark stretches of unexplored genetic code. But despite being small and elusive, their impact may be just as big as larger proteins.

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Stepping for Digital Rewards

Walking is well known to have significant health benefits, but few people achieve the daily recommended steps. Fortunately, mobile health (mHealth) applications have emerged as promising tools to promote physical activity. These apps track user activities on mobile devices to deliver health and wellness services. However, the effectiveness of these apps in increasing daily walking behavior remains underexplored, partly due to variations in their incentive structures.

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AI Catches One-Third of Interval Breast Cancers Missed at Screening

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

Interval breast cancers - symptomatic cancers diagnosed within a period between regular screening mammography exams - tend to have poorer outcomes due to their more aggressive biology and rapid growth.

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Researchers Create 'Virtual Scientists' to Solve Complex Biological Problems

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs.

Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an AI principal investigator and seasoned scientists.

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From WebMD to AI Chatbots: How Innovation has Empowered Patients to Take Control of their Health

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care system. The paper, titled "From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients," explores the symbiotic evolution of digital health tools and the increasingly engaged e-patient.

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