What You Should Know:
– MTIP, a Swiss growth and buyout firm specializing in healthcare software, is pleased to announce the acquisition of a majority stake in Dossier Solutions, a leading healthcare competency management SaaS provider.
– The…
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Matt A. Murphy, CEO and Co-Founder of Cascala Health
Joe Jasser, MD, MBA, Board Member for Cascala Health
It’s human nature that when we are told to do something, we want to know the reason why.
That’s…
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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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Representatives from Dartford and Gravesham NHS Trust visit the assisted living suite at North Kent College’s Dartford campus (Credit: North Kent College)
Health and social care students and NHS employees will be trained on…
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Qualified clinical coders are vital to ensure clinical information and funding flows around the system correctly. But a national shortage of coders is having wide-ranging consequences, argues Marc Farr, chair of the Chief Data…
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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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