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npj Digital Medicine
Scopus
ISSN 2398-6352 · Nature Portfolio · 2,765 articles in the index
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Journal Article
AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment
Abstract Stroke is a leading cause of long-term disability, often affecting upper-limb motor function and requiring continuous assessment. The Fugl-Meyer Assessment (FMA), though a clinical gold standard, is time-consuming and demands specialized personnel. This study presents an AI-driven…
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Journal Article
Digitizing paper ECGs at scale: an open-source algorithm for clinical research
Abstract Billions of clinical ECGs exist only as paper scans, making them unusable for modern automated diagnostics. We introduce a fully automated, modular framework that converts scanned or photographed ECGs into digital signals, suitable for both clinical and research applications. The framework…
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Journal Article
Psychometric properties and detectability of GPT-4o–generated multiple-choice questions compared with human-authored items across imaging specialties
Abstract Large language models (LLMs) have the potential to scale assessment in medical education, but their psychometric equivalence to expert-written items and the detectability of their origin remain uncertain. In a preregistered, single-center, blinded observational, within-subject comparison…
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Journal Article
Performance of DeepSeek in the generation of in-training examination questions in radiology resident education
Abstract The performance of large language models (LLMs)-DeepSeek in the generation of in-training examination questions in radiology resident education is understudied. In this study, multiple-choice questions (MCQs) were generated by DeepSeek and written by radiology experts according to Chinese…
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Journal Article
An autonomous agentic workflow for clinical detection of cognitive concerns using large language models
Abstract Early detection of cognitive impairment is limited by traditional screening tools and resource constraints. We developed two large language model workflows for identifying cognitive concerns from clinical notes: (1) an expert-driven workflow with iterative prompt refinement across three…
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Journal Article
Computational pharmacovigilance of Lifitegrast in dry eye disease using machine learning and network toxicology
Abstract Lifitegrast, as a novel therapeutic agent for dry eye disease (DED), has garnered considerable clinical attention, yet the prediction and risk assessment of its adverse drug events (ADEs) remain methodologically challenging. This investigation seeks to establish a comprehensive predictive…
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Journal Article
A lightweight CVTC model for accurate Alzheimer’s MRI analysis and lesion annotation
Abstract In clinical practice, MRI images are widely used to diagnose neurodegenerative diseases like Alzheimer’s disease (AD). However, complex MRI patterns often mimic normal aging, relying on subjective experience and risking misdiagnosis. This paper proposes the Cross Vision Transformer with…
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Journal Article
Modeling Ischemic Stroke Pathological Dynamics via Continuous Fields and Vector Flow
Abstract Precise localization of perfusion deficits in diffusion-weighted MRI (DWI) is critical for acute ischemic stroke management. However, existing deep learning methods typically produce discrete binary masks, failing to capture the continuous nature of ischemic injury and discarding valuable…
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Journal Article
Health-economic evaluation of a novel personalized digital avatar-based anemia management software in hemodialysis patients
Abstract This study aimed to evaluate the cost-effectiveness and financial impact of an anemia management tool (AMT)—a software system that uses real-time blood volume and hemoglobin monitoring data—for adult patients receiving in-center hemodialysis (HD) in the United States. A Markov cohort model…
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Journal Article
Agentic AI can help hospitals prepare for unprecedented weather
As climate change intensifies, healthcare systems will increasingly face unprecedented climatic emergencies surpassing assumptions underlying their emergency protocols. While conventional scenario-based preparedness and contingency planning will remain relevant for most events, they may falter in…
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Journal Article
A machine learning-derived polygenic risk score reveals that healthy lifestyle counteracts obesity-related mortality
Abstract Obesity is influenced by genetic predisposition and lifestyle. The associations among genetic susceptibility to obesity, lifestyle, and all-cause mortality remain unexplored. Our goal is to develop and validate a machine learning model to assess the genetic risk of obesity and examine its…
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Journal Article
Geometric-topological deep transfer learning for precise vessel segmentation in 3D medical volumes
Abstract Precise delineation and parametric modeling of curvilinear vascular architectures in volumetric medical imaging are pivotal for advancing clinical diagnostics and therapeutic planning. Prevailing methodologies predominantly adopt discrete voxel-wise representations, such as binary masks…
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Journal Article
The accuracy of Apple Watch measurements: a living systematic review and meta-analysis
Abstract Apple Watch provides continuous monitoring of physiological and behavioural health metrics, increasingly used to support health-care delivery. Yet, evidence regarding its measurement accuracy remains limited. We aimed to assess the accuracy of measurements from Apple Watch. We searched…
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Journal Article
Pain assessment using physiological responses/markers in different types of pain: a scoping review
Abstract Pain is a complex multidimensional experience that integrates sensory and emotional components, presenting significant challenges for accurate assessment in clinical practice. Traditional methods of pain evaluation rely on subjective self-reporting and each individual’s ability to…
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Journal Article
Topology preserving embedded network for PICC segmentation in pediatric X ray images
Abstract Peripherally inserted central catheters (PICCs) are essential for long-term infusion in vulnerable pediatric patients. Optimal tip placement in the lower third of the superior vena cava or at the cavoatrial junction is critical to prevent serious complications. Verifying correct tip…
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Journal Article
A guided chatbot-based psychological intervention for psychologically distressed older adolescents and young adults: a randomised clinical trial in Jordan
Abstract This randomised controlled trial compared a 10-session chatbot intervention with 5 weekly brief support calls (STARS) to enhanced usual care (EUC) in distressed young adults in Jordan (N = 344). Primary outcome was change in anxiety and depression severity assessed at baseline by the…
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Journal Article
Grounded report generation for enhancing ophthalmic ultrasound interpretation using Vision-Language Segmentation models
Abstract Accurate interpretation of ophthalmic ultrasound is crucial for diagnosing eye conditions but remains time-consuming and requires significant expertise. With the increasing volume of ultrasound data, there is a need for Artificial Intelligence (AI) systems capable of efficiently analyzing…
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Journal Article
Deep learning based volumetric analysis of infrarenal abdominal aortic aneurysms characterized on CTA
Abstract Volumetric assessment of abdominal aortic aneurysms (AAA) offers precise pre- and post-endovascular aortic repair (EVAR) evaluation but is laborious. The primary aim was to train and validate a network facilitating automated segmentation and volume determination of pre- and post-EVAR…
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Journal Article
Secure distributed multiple imputation enables missing data inference for private data proprietors
Abstract Scattered between many healthcare providers across the US, Electronic Health Records (EHR) are extensively used for research purposes. Collaboration and sharing of EHRs between multiple institutions often provide access to more diverse datasets and a chance to conduct comprehensive…
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Journal Article
Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
As technology evolves, so does the way people engage with it—especially when it comes to health information. Over the past 25 years, the explosive growth in internet use has been paralleled by an equally rapid increase in individuals seeking health information online. During this same period…
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