This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing the rapid advancement of AI technologies and their potential to transform healthcare delivery, we propose…
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The current assessment of Parkinson’s disease (PD) relies on dynamic motor tasks, limiting accessibility. This study aimed to propose an innovative approach to identifying PD and its stages using static standing balance and machine…
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People with a history of injecting drug use are a priority for eliminating blood-borne viruses and sexually transmissible infections. Identifying them for disease surveillance in electronic medical records (EMRs) is challenged by sparsity of…
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Heim Health co-founders Sasha Tory (left), Kelly Klifa (centre) and James Monico (right) (Credit: Heim Health)
Heim Health, a software platform that helps deliver at-home care, has announced a £2.2 million seed funding round…
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In this work we present OptAB, the first completely data-driven online-updateable antibiotic selection model based on Artificial Intelligence for Sepsis patients accounting for side-effects. OptAB performs an iterative optimal antibiotic selection for real-world Sepsis…
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Polysomnography, the gold standard diagnostic tool in sleep medicine, is performed in an artificial environment. This might alter sleep and may not accurately reflect typical sleep patterns. While macro-structures are sensitive to environmental effects,…
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Researchers at Imperial College London and Imperial College Healthcare NHS Trust have developed an AI tool which could identify people at risk of type 2 diabetes up to 10 years before they begin to…
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Large language models (LLMs) are increasingly applied in medical documentation and have been proposed for clinical decision support. We argue that the future for LLMs in medicine must be based on transparent and controllable…
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Sam Peters, Chief Product Officer, ISMS.online
The healthcare industry’s continual digital revolution requires it to increasingly rely on third-party vendors for everything from electronic health records to telehealth platforms. While these partnerships offer undeniable benefits…
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Researchers from South Korea have built machine learning-based models that can predict mood episodes using only sleep and circadian rhythm data from wearable devices. The team comprised researchers from the Institute for Basic Sciences (IBS),…
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