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…
Despite significant advances, the prevention and management of cardiovascular disease remain challenging, especially for ischemic heart disease (IHD). Current clinical decision-making relies heavily on physician expertise, guideline-directed therapies, and static risk scores, which often…
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What You Should Know:
– ConcertAI announced a multi-year agreement with Bayer to leverage ConcertAI’s Translational360™ and AI SaaS solutions, which use artificial intelligence and machine learning (AI/ML)-derived insights to accelerate clinical development in precision…
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What You Should Know:
– A new report from KLAS Research examines the use of artificial intelligence (AI) and machine learning (ML) within healthcare data science solutions.
– The KLAS report, which builds upon a previous…
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Alarming Gaps in Healthcare AI Detection
New research published in Nature Communications Medicine has exposed critical flaws in machine learning mortality prediction models currently used in healthcare settings. These AI systems failed to recognize approximately…
