Healthcare organizations face a multitude of external and internal challenges today. They are doing their best to dodge cyberattacks, reduce turnover by improving work-life balance, and manage escalating costs. This is all while ensuring…
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The US Congress is delivering an end of year cliffhanger in the form of expansive legislation designed to fund the government so that there’s not a shutdown when current funding runs out on December…
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In this video, two hospital managers present an extended and intriguing view of major design changes that bring in state-of-the-art technology making sure that it "fades into the background" while clinical care takes the…
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What You Should Know:
– ŌURA, the company behind the world’s leading smart ring, has announced the completion of a $200 million Series D funding round, raising its valuation to $5.2B.
– This significant investment, with…
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Supports for adaptive functioning in individuals with neurodevelopmental conditions (NDCs) is of umost importance to long-term outcomes. Artificial intelligence (AI)-assistive technologies has enormous potential to offer efficient, cost-effective, and personalized solutions to address these…
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Where adopted, Autonomous artificial Intelligence (AI) for Diabetic Retinal Disease (DRD) resolves longstanding racial, ethnic, and socioeconomic disparities, but AI adoption bias persists. This preregistered trial determined sensitivity and specificity of a previously FDA…
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Sheffield-based insomnia medtech firm SleepCogni has raised £300,000, bringing its total funding to £3.9m.
The funding was raised in an Enterprise Investment Scheme pre-approved bridging round, supported by existing investors and grants.
Richard Mills, chief executive…
Automated clinical coding (ACC) has emerged as a promising alternative to manual coding. This study proposes a novel human-in-the-loop (HITL) framework, CliniCoCo. Using deep learning capacities, CliniCoCo focuses on how such ACC systems and…
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Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. However, they struggle to produce reliable prediction probabilities, which are crucial for transparency and decision-making. While explicit…
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This study evaluated the impact of differing false positive (FP) rates in two computer-aided detection (CADe) systems on the clinical effectiveness of artificial intelligence (AI)-assisted colonoscopy. The primary outcomes were adenoma detection rate (ADR)…
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