Allied health professionals (AHPs) should not wait for AI to come to them, write physiotherapists Christopher Efford and Charlie Winward
AI is everywhere. If you’re not using it, you’re probably considering it. It’s the…
Electronic health records (EHR) contain data from disparate sources, spanning various biological and temporal scales. In this work, we introduce the Multiple Embedding Model for EHR (MEME), a deep learning framework for clinical decision…
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Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but its interpretation requires significant expertise and time. Despite generative AI’s enormous potential in medical report generation, automatic FFA interpretation lacks robust…
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Large language models (LLMs) demonstrate significant potential in healthcare applications, but clinical deployment is limited by privacy concerns and insufficient medical domain training. This study investigated whether retrieval-augmented generation (RAG) can improve locally deployable…
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Immunohistochemistry (IHC) is crucial for the clinical categorisation of breast cancer cases. Deep generative models may offer a cost-effective alternative by virtually generating IHC images from hematoxylin and eosin samples. This review explores the…
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Welcome to the June 2025 edition of Digital Health Digest!Stay on the cutting edge of healthcare technology with our top stories this month. From multimillion-dollar funding rounds to AI assistants transforming workflows, these innovations…
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What You Should Know:
– Suki, a leader in healthcare artificial intelligence (AI), has expanded its integration with MEDITECH, a widely trusted electronic health record (EHR) platform.
– This development positions Suki as the first to enable ambiently…
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There are no prospective clinical studies evaluating artificial intelligence implementation for glaucoma detection in real-world settings. We developed an automated retinal photography and AI-based screening system and prospectively assessed its accuracy, feasibility, and acceptability…
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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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Glaucoma is a globally prevalent disease that leads irreversible blindness. The visual field (VF) examination is important but time-consuming for visual function evaluation with high requirement of cooperation and reliability of patients. While color…
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