© Digital Health Intelligence 2023Download now to find out how NHS acute trusts are progressing on digital maturity against the HIMSS EMRAM model. Download ReportMarket share of EPR suppliers with levels 5-7 segmentFirst Name *Last Name *Job Title *Organisation *Email *How did…
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Revolutionary Open-Source AI Model Card Released
The Coalition for Health AI (CHAI) has taken a groundbreaking step by releasing their artificial intelligence Applied Model Card on GitHub as an open-source resource. This innovative tool serves…
Industry-Government Consensus Building
The healthcare sector is witnessing a remarkable convergence between industry innovators and government regulators in defining and implementing responsible artificial intelligence. Brian Anderson, CEO of Coalition for Healthcare AI, emphasizes the critical…
Intensive longitudinal sampling enhances subjective data collection by capturing real-time, dynamic inputs in natural settings, complementing traditional methods. This study evaluates the feasibility of using daily self-reported app data to assess clinical improvement among…
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Traditional disease classification models often disregard the clinical significance of misclassifications and lack interpretability. To overcome these challenges, we propose a hierarchical prototypical decision tree (HPDT) for skin lesion classification. HPDT combines prototypical networks…
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What You Should Know:
– Arcadia, a healthcare data platform, announced a new AI-driven precision medicine solution designed to identify patients with undiagnosed or misdiagnosed conditions who are at risk of poor health outcomes.
– The…
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On Monday, AI development powerhouse Nvidia kicked off this year’s J.P. Morgan Healthcare Conference in San Francisco by announcing new partnerships focused on scaling AI models across healthcare.
One of Nvidia’s new partnerships is with…
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Aging affects the 12-lead electrocardiogram (ECG) and correlates with cardiovascular disease (CVD). AI-ECG models estimate aging effects as a novel biomarker but have only been evaluated on single ECGs—without utilizing longitudinal data. We validated…
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The 12-lead electrocardiogram (ECG) is inexpensive and widely available. Whether conditions across the human disease landscape can be detected using the ECG is unclear. We developed a deep learning denoising autoencoder and systematically evaluated…
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Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to…
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