A new AI-based tool that gamifies the screening of mild cognitive impairment has been incorporated into a comprehensive health screening service in Singapore.ReCOGnAIze is a neuroscientific game application developed at the Lee Kong Chian School…
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At the forefront of bridging computational brain modeling with personalized medicine, this study introduces a novel, real-time, electrocorticogram (ECoG) simulator, based on the digital twin brain concept. Utilizing advanced data assimilation techniques, specifically a…
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This study examines the relationship between self-reported and physiologically measured sleep quality and their impact on neurocognitive performance in individuals with depression. Using data from 249 participants with medium to severe depression monitored over…
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The Food is Medicine Institute at Tufts University is collaborating with Kaiser Permanente to create the new Food is Medicine National Network of Excellence. Joining the effort are several other major healthcare organizations including Geisinger, Highmark…
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Ion Hatzithomas, CEO at RenderHub
The Medical Revolution Powered by 3D Technology
In recent years, the healthcare industry has witnessed a groundbreaking transformation driven by 3D visual technologies. Once confined to the realm of science fiction, recent innovations in 3D printing, bioprinting, mobile 3D imaging, VR/AR for…
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Pivotal moments in sepsis care occur in the emergency department (ED), however, and it is unclear whether ED data is adequate to inform reinforcement learning (RL) models. We evaluated the early opportunity for the…
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Refractive errors are the leading cause of preventable visual impairment, to which web-based remote refraction could contribute. We report real-world 2021–2022 data of the underlying algorithm and validated these to conventional prescriptions among healthy…
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Antimicrobial resistance is a rising global health threat, leading to ineffective treatments, increased mortality and rising healthcare costs. In ICUs, inappropriate empiric antibiotic therapy is often given due to treatment urgency, causing poor outcomes….
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Federated learning is a renowned technique for utilizing decentralized data while preserving privacy. However, real-world applications often face challenges like partially labeled datasets, where only a few locations have certain expert annotations, leaving large…
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The European CORE–MD consortium (Coordinating Research and Evidence for Medical Devices) proposes a score for medical devices incorporating artificial intelligence or machine learning algorithms. Its domains are summarised as valid clinical association, technical performance,…
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