Polysomnography (PSG) is crucial for diagnosing sleep disorders, but manual scoring of PSG is time-consuming and subjective, leading to high variability. While machine-learning models have improved PSG scoring, their clinical use is hindered by…
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Researchers from The Chinese University of Hong Kong and Beijing Tongren Hospital have developed a foundational AI model for automated eye disease diagnosis. WHAT IT’S ABOUT
The generative AI model, VisionFM, was pre-trained on a large ophthalmic data…
What You Should Know:
– Helix, a leader in population genomics and precision health, and Komodo Health, a leader in healthcare technology and data-driven insights, are partnering to further enrich Helix’s clinico-genomic datasets within the Helix…
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AI-enabled real-world evidence platform Century Health and neurology-based medical practice Nira Medical announced a partnership to curate data from more than 3,000 patients with multiple sclerosis.Multiple sclerosis is a chronic neurological disease in which…
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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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Neonatal seizures require urgent treatment, but often go undetected without expert EEG monitoring. We have developed and validated a seizure detection model using retrospective EEG data from 332 neonates. A convolutional neural network was…
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Label noise is a common and important issue that would affect the model’s performance in artificial intelligence. This study assessed the effectiveness and potential risks of automated label cleaning using an open-source framework, Cleanlab,…
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The U.S. Department of Defense’s Chief Digital and Artificial Intelligence Office and Humane Intelligence, a technology nonprofit, has announced the conclusion of the agency’s Crowdsourced Artificial Intelligence Red-Teaming Assurance Program pilot, which is focused…
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Artificial Intelligence technologies have the potential to improve multiple aspects of healthcare research, diagnosis and care delivery, according to a Bipartisan House Task Force Report on Artificial Intelligence.The report highlights America’s leadership in its…
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A set of internationally-agreed recommendations has been published with the aim of reducing the risk of potential bias in AI for healthcare technologies.
The guidelines from the STANDING Together initiative, published The Lancet Digital Health…
