Close vital signs monitoring is crucial for the clinical management of patients with dengue. We investigated performance of a non-invasive wearable utilising photoplethysmography (PPG), to provide real-time risk prediction in hospitalised individuals. We performed…
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Background: Pulmonary hypertension (PH), is a chronic and complex condition, requiring consistent management and education. The widespread use of smartphones has opened possibilities for mobile health apps to support both patients and healthcare professionals…
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Background: The use of wearable sensors is being explored as a challenging way to accurately identify smoking behaviors by measuring physiological and environmental factors in real-life settings. Although they hold potential benefits for aiding…
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Bruce Lieberthal, Chief Innovation Officer at Henry Schein
Artificial Intelligence (AI) is continuing to gain traction in the realm of healthcare and medicine. According to a study by the American Medical Association, 41 percent of…
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What You Should Know:
– Innoventric, a leader in transcatheter tricuspid regurgitation (TR) treatment, today announced a $28.5 million Series B funding round to advance its revolutionary cross-caval technology, bringing the total funds raised since inception…
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Large language models (LLMs) are poised to become a much bigger part of doctors’ clinical workflows, according to Scott Gottlieb, who served as commissioner of the FDA during the Trump administration.
He shared this take…
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Background: Despite the growing availability of smoking cessation apps, low engagement and cessation rates have remained a significant challenge. To address this issue, we used a user-centered design to iteratively develop a mobile app…
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Introduction
Artificial intelligence (AI) is transforming breast cancer detection by enhancing early diagnosis and alleviating radiologist workload, essential for improving patient outcomes and screening efficiency. A recent study, conducted by researchers from Norway and Denmark,…
Collaborative research in Asia has called for prudence in using popular large language model-based (LLM) chatbots as part of public health research and response.In a study, which findings were published in BMJ, researchers from…
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Clinical trial matching is the task of identifying trials for which patients may be eligible. Typically, this task is labor-intensive and requires detailed verification of patient electronic health records (EHRs) against the stringent inclusion…
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