Accurately predicting surgical and transfusion needs in traumatic brain injury (TBI) patients remains challenging in emergency settings. We developed multiomics data fusion (MDF) models integrating clinical biomarkers, neural radiological imaging, and clinical text mining…
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Facial palsy, affecting 1 in 60 individuals, requires precise assessment for effective treatment and follow-up. Current grading systems are inconsistent due to redundant subjective factors. Discrete assessment of the whole face fails to address…
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Current AI approaches for cardiac diagnosis require condition-specific supervised learning with extensive labeled datasets, leading to fundamental scalability barriers. We developed an ECG-CLIP model, applying contrastive multimodal learning to enable zero-shot cardiac diagnosis from…
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The complexity and variability of high-resolution pathological images present significant challenges in computational pathology. While AI-driven pathology foundation models have advanced the field, they require large-scale datasets, substantial storage, and significant computational resources, as…
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North West Ambulance Service NHS Trust (NWAS) will digitise its medicine inventory process with a digital pharmacy stock management solution.
The system will provide NWAS with a fully cloud-hosted platform for medicines inventory management and…
Introduction
Healthcare systems nationwide are embracing artificial intelligence to address physician burnout and improve clinical workflows. UChicago Medicine recently pioneered an innovative approach by adapting ambient AI documentation technology specifically for emergency department environments, revealing…
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The proliferative hepatocellular carcinoma (HCC) subtype is associated with aggressive disease and poor prognosis, yet it remains challenging to identify non-invasively. This retrospective multicenter study developed a multitask deep learning system for detecting proliferative…
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Digital health interventions (DHIs) targeting blood pressure (BP) control were more effective in patient self-care than usual care (UC). However, the relative contribution of DHIs involving different healthcare practitioners (HCPs) towards BP control remained…
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Colorectal cancer recurrence remains a major challenge after curative resection, and accurate tools for early risk assessment are essential to stratify patients and guide personalized therapeutic planning. We developed MPMRecNet, a dual-stream deep learning…
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Missed periodontitis diagnoses are common, and AI dental radiography systems based on clinical standards can enhance reliable detection. We introduce and evaluate HC-Net+, a deep-learning model that mimics clinical pathways while integrating localized tooth…
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