CardMedic, the frontline healthcare language app and previous Digital Health Rewired Pitchfest champion, has been awarded almost £500,000 in funding from SBRI Healthcare to help develop an AI-enabled language portal.
The 12-month project aims to…
Early detection, regular monitoring of eyelid tumors and post-surgery recurrence monitoring are crucial for patients. However, frequent hospital visits are burdensome for patients with poor medical conditions. This study validates a novel deep learning-based…
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Molecular subtyping and grading of adult-type diffuse gliomas are essential for treatment decisions and patient prognosis. We introduce GlioMT, an interpretable multimodal transformer that integrates imaging and clinical data to predict the molecular subtype…
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What You Should Know:
– Wolters Kluwer Health, a provider of clinical decision support solutions, today announced a collaboration with Microsoft to integrate its UpToDate® platform with the healthcare agent service in Microsoft Copilot Studio.
–…
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In tumor radiotherapy, monitoring patient body position is crucial for improving efficacy and reducing complications. We developed a contact-based body position monitoring system using pressure sensors and artificial intelligence, enabling non-invasive, radiation-free, real-time monitoring….
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Background: Even though several mobile applications that can measure blood pressure (BP) have been developed, the data about the accuracy of those applications are limited. Objective: This study assessed the accuracy of AlwaysBP (test)…
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Background: Understanding the causes and mechanisms underlying musculoskeletal pain is crucial for developing effective treatments and improving patient outcomes. Self-report measures, such as the Pain Drawing Scale, involve individuals rating their level of pain…
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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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Recognizing the limitations of computer-assisted tools for thyroid nodule diagnosis using static ultrasound images, this study developed a diagnostic tool utilizing dynamic ultrasound video, namely Thyroid Nodules Visualization (TNVis), by leveraging a two-stage deep…
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Hypertension is a major risk factor for cardiovascular disease (CVD), yet blood pressure is measured intermittently and under suboptimal conditions. We developed a deep learning model to identify hypertension and stratify risk of CVD…
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