By Shania Kennedy
August 18, 2023 – In a study recently published in JAMA Network Open, researchers have externally validated a machine learning (ML) model designed to predict six-month mortality risk for patients with advanced cancer…
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Ventilation should be assisted without asynchrony or cardiorespiratory instability during anesthesia emergence until sufficient spontaneous ventilation is recovered. In this multicenter cohort study, we develop and validate a reinforcement learning-based Artificial Intelligence model for…
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The introduction of ChatGPT directed the world’s attention to the power of generative artificial intelligence and its applications across industries. Though the potential of AI applied to drug discovery workflows has been known for…
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Health Call has launched a waiting list validation tool to support NHS trusts achieve elective recovery.NHS-owned digital health company Health Call has launched a new solution that aims to reduce lengthy waiting lists and…
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Digital health technologies (DHTs) enable remote data collection, support a patient-centric approach to drug development, and provide real-time data in real-world settings. With increasing use of DHTs in clinical care and development, we expect…
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By Mark Melchionna
August 03, 2023 – A new study found that although the use of the Deterioration Index (DTI) within the hospital setting provided modest results, it inconsistently s handled various demographic groups. Researchers concluded…
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Non-accidental trauma (NAT) is deadly and difficult to predict. Transformer models pretrained on large datasets have recently produced state of the art performance on diverse prediction tasks, but the optimal pretraining strategies for diagnostic…
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Despite the importance of preventing chronic kidney disease (CKD), predicting high-risk patients who require active intervention is challenging, especially in people with preserved kidney function. In this study, a predictive risk score for CKD…
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The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical problems may result in suboptimal performance when pre-training…
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Welcome to another insightful interview in our series on the future of healthcare. This time we sat down with Philippe Gerwill, an expert in digital health, to discuss the cutting-edge technologies reshaping the landscape…
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