Glaucoma, a leading cause of blindness, requires accurate early detection. We present an AI-based Glaucoma Screening (AI-GS) network comprising six lightweight deep learning models (total size: 110 MB) that analyze fundus images to identify…
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Tia, a hybrid women’s healthcare company, has joined forces with Nourish, a food-as-medicine platform, to connect patients to nutrition counseling services via Nourish’s network of registered dietitians. At the same time, Tia says it…
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Aron Solomon, JD, Chief Strategy Officer for AMPLIFY
Medical malpractice claims, tragic patient outcomes, and preventable errors have long plagued our healthcare system, fueled by the inherent limitations of human clinicians. But there is a revolutionary force…
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The study introduces a clinical decision support system (CDSS) developed at a single academic cancer center, integrating real-time clinical, genomic, and imaging data for over 170,000 patients across 11 cancer types. We have developed…
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Partnerships between public and private organizations in digital health can promote more accessible, affordable, and high-quality care, but they also raise ethical and governance challenges. We searched PubMed, EMBASE, and Web of Science, identifying…
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Electroconvulsive therapy (ECT) and ketamine are effective treatments for depression; however, evidence-based guidelines are needed to inform individual treatment selection. We adapted the Personalized Advantage Index (PAI) using machine learning to predict optimal treatment…
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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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The Digital Medicine Society (DiMe) announced the release of The Playbook: Pediatric Digital Medicine, an industry guideline aimed at addressing the special challenges of pediatric digital health innovation and creating solutions that maximize care…
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Generalist AI systems in healthcare can handle multiple complex clinical tasks, unlike narrow AI tools that perform isolated functions. However, current payment systems struggle to capture the value of these integrated capabilities. We examine…
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We place ‘Model Cards’ and graphical ‘nutrition labels’ for health AI in context with the information needs of patients, health care providers and deployers. We discuss the applicability of Model Cards for General Purpose…
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