This systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes. Following PRISMA guidelines, we analyzed 18 studies (n = 1,064,530) that employed rule-based algorithms (67%), traditional machine…
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What You Should Know:
– Google today announced a major advancement in wearable technology with the FDA clearance of its Loss of Pulse Detection feature for the Pixel Watch 3.
– The feature can detect when…
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SingHealth, one of Singapore’s major health clusters, is partnering with Philips to enhance healthcare delivery with new AI integrations.Under their memorandum of understanding, they will set up teams to work on three digital health…
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We piloted using Large Language Models (LLMs) for organizing AMIA 2024 Informatics Summit. LLMs were prompt engineered to develop algorithms for reviewer assignments, group presentations into sessions, suggest session titles, and provide one-sentence summaries…
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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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Understanding AI Governance in Healthcare
Healthcare organizations must carefully evaluate artificial intelligence technologies within a comprehensive governance framework to ensure optimal patient outcomes. As AI systems become increasingly integrated into healthcare operations, establishing robust evaluation…
Improving the Healthcare System with Advancements in Data Science and AIBy Hugh Cassidy
Hugh Cassidy, PhD, MBA is head of artificial intelligence and chief data scientist at LeanTaaS.
Healthcare has historically been slow to adopt…
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Body composition prediction from 3D optical imagery has previously been studied with linear algorithms. In this study, we present a novel application of deep 3D convolutional graph networks and nonlinear Gaussian process regression for…
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Real-time monitoring of hydration biomarkers in tandem with biophysical markers can offer valuable physiological insights about heat stress and related thermoregulatory response. These metrics have been challenging to achieve with wearable sensors. Here we…
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Groundbreaking Research Initiative
The University of Edinburgh‘s NeurEYE research team, in collaboration with Glasgow Caledonian University, has achieved a remarkable milestone by collecting nearly one million eye scans from opticians across Scotland. This unprecedented dataset,…
