We reviewed 1016 FDA authorizations of AI/ML-enabled medical devices to develop a taxonomy capturing key variations in clinical and AI-related features. Quantitative image analysis remains the most common application, but its relative proportion has…
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Jai Pillai, COO of Red Sky Health
In the complex and often frustrating world of healthcare billing, claim denials, underpayments, and repeated resubmissions are among the most persistent and costly challenges faced by providers. The…
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Sepsis accounts for a substantial portion of global deaths and healthcare costs. The objective of this reproducibility study is to validate Duke Health’s Sepsis Watch ML model, in a new community healthcare setting and…
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Thalassemia is an inherited blood disorder. Current diagnostic methods mainly rely on sophisticated equipment and specifically trained technicians. This study aims to identify and genotype thalassemia by applying machine learning (ML) algorithms to routine…
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In acute ischemic stroke due to large-vessel occlusion (AIS-LVO), late-window endovascular thrombectomy (EVT) decisions depend on penumbra-to-core (P:C) mismatch from computed tomographic perfusion (CTP). We developed multiple machine learning (ML) models to predict P:C…
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This project represents the first systematic assessment of the US Food and Drug Administration’s postmarket surveillance of legally marketed artificial intelligence and machine learning based medical devices. We focus on the Manufacturer and User…
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Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative training of machine learning (ML) models on diverse, multi-centre data. This systematic review synthesises current knowledge on state-of-the-art FL in oncology, focusing on…
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Israeli startup PhaseV, an AI-enabled clinical development company for life sciences, has secured $50 million in Series A funding in a round co-led by Accel and Insight Partners. Existing investors Viola Ventures, LionBird and EXOR…
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What You Should Know:
– PhaseV, a company at the forefront of applying artificial intelligence (AI) and machine learning (ML) to clinical development raies $50M in Series A funding round co-led by Accel and Insight…
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What Is Agentic AI?
Like other forms of artificial intelligence, agentic AI is only as accurate as the data that fuels it. It relies on “a digital ecosystem of large language models (LLMs), machine learning…
