To support the continued development and marketing of safe and effective medical devices enhanced by artificial intelligence, the U.S. Food and Drug Administration will offer marketing submission recommendations, including the documentation and information needed…
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Adaptive deep brain stimulation (DBS) provides individualized therapy for people with Parkinson’s disease (PWP) by adjusting the stimulation in real-time using neural signals that reflect their motor state. Current algorithms, however, utilize condensed and…
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A lot of people have a view about academia, that you’re just sitting and thinking about the ideas. It’s extremely competitive to get the fellowship, to get the position. It's very stressful because you…
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Generating realistic synthetic health data (e.g., electronic health records), holds promise for fundamental research, AI model development, and enhancing data privacy safeguards. Generative Adversarial Networks (GANs) have been employed for this purpose, but their…
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Deep learning analysis of electrocardiography (ECG) may predict cardiovascular outcomes. We present a novel multi-task deep learning model, the ECG-MACE, which predicts the one-year first-ever major adverse cardiovascular events (MACE) using 2,821,889 standard 12-lead…
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Nasal endoscopy is crucial for the early detection of nasopharyngeal carcinoma (NPC), but its accuracy relies heavily on the clinician’s expertise, posing challenges for primary healthcare providers. Here, we retrospectively analysed 39,340 nasal endoscopic…
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Google announced it is funding a $30 million global open call for nonprofits, civic entities, academic institutions and social enterprises to apply to participate in the six month Google.org Accelerator: Generative AI program.Recipients with…
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For the 87th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Jeffrey Sturman, Senior Vice President and Chief Digital Information Officer at Memorial Healthcare System to talk about…
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Due to the large size and lack of fine-grained annotation, Whole Slide Images (WSIs) analysis is commonly approached as a Multiple Instance Learning (MIL) problem. However, previous studies only learn from training data, posing…
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Patient smart access and self-triage systems have been in development for decades. As of now, no LLM for processing self-reported patient data has been published by health systems. Many expert systems and computational models…
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