Data-driven medical care delivery must always respect patient privacy—a requirement that is not easily met. This issue has impeded improvements to healthcare software and has delayed the long-predicted prevalence of artificial intelligence in healthcare….
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Whether the utilization of artificial intelligence (AI) during the interpretation of chest radiographs (CXRs) would affect the radiologists’ workload is of particular interest. Therefore, this prospective observational study aimed to observe how AI affected…
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Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using…
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By Mark Melchionna
April 28, 2023 – Researchers at Stanford Medicine developed an artificial intelligence (AI) algorithm that can analyze Reddit data containing patient perceptions of statins, assessing positive and negative feedback along with discussion…
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The Translational Research Institute for Space Health (TRISH) at Baylor College of Medicine, alongside its partners, is seeking proposals for the development of a health and data platform for individuals traveling to space.James Hury,…
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By Mark Melchionna
April 28, 2023 – Michigan Medicine is implementing the Mobile Monitoring Transformation Project, which will allow providers to access cardiac monitoring data through workstations, phones, and tablets.
The newly launched project is supported…
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Positive adjustment to chronic diseases reduces psychiatric comorbidity and enhances quality of life. Very little is known about the benefit of internet-based and mobile-based Cognitive Behavioral Therapy (IM-CBT) on physical outcomes and its reciprocal…
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By Shania Kennedy
April 27, 2023 – Researchers from the California Institute of Technology (Caltech) and the University of Southern California (USC) Keck School of Medicine have developed an artificial intelligence (AI) system designed to…
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Brain stimulation (BStim) encompasses multiple modalities (e.g., deep brain stimulation, responsive neurostimulation) that utilize electrodes implanted in deep brain structures to treat neurological disorders. Currently, BStim is primarily used to treat movement disorders such…
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Advancements in deep learning and computer vision provide promising solutions for medical image analysis, potentially improving healthcare and patient outcomes. However, the prevailing paradigm of training deep learning models requires large quantities of labeled…
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