Studies in health technology and informatics
May 21, 2026
Clinical text cannot be shared freely due to data protection regulations. This paper introduces SURROGATOR, an open-source framework that replaces personal identifiable information with fictitious, high-fidelity synthetic surrogates to maintain text ... read more
Studies in health technology and informatics
May 21, 2026
Federated Learning (FL) allows institutions to train shared models without exchanging raw data, making it a promising approach for healthcare applications that involve sensitive electronic health records (EHRs). However, despite this distributed desi... read more
Studies in health technology and informatics
May 21, 2026
Obstructive sleep apnea (OSA) is a sleeping disorder which can lead to severe health consequences. Information gaps in the patient's diagnostic path may result in duplicate examinations, while patients wait long for sleep diagnostics. We propose an a... read more
Studies in health technology and informatics
May 21, 2026
Healthcare infrastructures face escalating cybersecurity risks caused by legacy systems, connected IoMT devices, and complex data-sharing environments. Conventional intrusion detection and SIEM systems provide limited protection against zero-day and ... read more
Studies in health technology and informatics
May 21, 2026
This study conducted a needs assessment to evaluate contextual factors, adoption barriers, and overall readiness of municipal healthcare services to implement and utilize AI-supported documentation solutions. The study was carried out by a multidisci... read more
This study investigated gender disparities in random blood glucose (RBS) levels among Pakistani adults with Type 2 Diabetes (T2D), examining biological and sociocultural determinants. A cross-sectional analysis of 300 age-matched adults with T2D (150... read more
This work integrates the physics-informed neural network (PINN) approach into the neural quantum state framework to simulate open quantum system dynamics and to circumvent the computationally expensive time-dependent variational principle required in... read more
The use of electrolyte additives is regarded as a cost-effective strategy to regulate the components of aqueous zinc-ion batteries (AZIBs) and to improve their overall electrochemical performance. Here, we demonstrate an artificial-intelligence-guide... read more
We formalize and enable the task of open tree decomposition, which segments an image into hierarchical trees of visual components with unconstrained granularity and flexibility. Specifically, we provide the foundation benchmark for this new paradigm ... read more
Reinforcement learning with verifiable rewards (RLVR) has emerged as a promising paradigm for advancing complex reasoning in large language models, and recent work extends RLVR to multimodal large language models (MLLMs). This transfer, however, surf... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.