BackgroundIdentification of fatigue in people with Multiple Sclerosis (pwMS) is still mainly based on subjective assessments due to the lack of objective diagnostic tools. We aimed to identify vocal biomarkers to differentiate between pwMS with and without fatigue.MethodsThis COMMITMENT trial was a prospective, observational study recruiting healthy controls (HCs, n = 20) and relapsing MS (RMS) patients […]
The past, present and future use of technology-enabled physical activity interventions in clinical and non-clinical populations: a bibliometric trend analysis across four decades
BackgroundPhysical inactivity remains a persistent global health challenge despite long-standing evidence that regular physical activity (PA) reduces chronic disease risk, cognitive decline and premature mortality. In parallel, digital health technologies have expanded rapidly, yet it remains unclear how distinct platform types have emerged, diffused and been differentially adopted in clinical vs. non-clinical populations.MethodsWe conducted a […]
The Irish COPD paradox and the promise of virtual care
IntroductionIreland has the highest COPD hospitalisation rate in the OECD (315 per 100,000 vs. an average of 190), yet possesses the infrastructure and reform ambition—through Sláintecare—to deliver care differently. Virtual Care Pathways underpinned by Remote Patient Monitoring offer one route out of this costly, hospital-centric cycle, but the question is not simply whether they work. […]
Use of WeChat-based patient-doctor interaction improves patient experience of Helicobacter pylori treatment: a randomized controlled trial
IntroductionHelicobacter pylori (H. pylori) eradication therapy often involves complex medication regimens and may be accompanied by adverse events, which can negatively affect treatment outcomes and experience. Effective patient-doctor communication may help address these challenges. This study primarily aimed to evaluate whether a WeChat-based patient-doctor interaction (WPDI) system could improve H. pylori treatment outcomes while simultaneously […]
Beyond the digital divide: multi-group SEM examination of socioeconomic status, mHealth utilization, and urban-rural physical activity disparities in Indonesia
BackgroundMobile health (mHealth) technological innovations are now widely being promoted as a scalable solution to the rising problem of obesity. Unfortunately, there is a dearth of empirical research on the extent to which mHealth utilization is associated with acceptance disparities in emerging economies.ObjectiveThis work explores the associations among socioeconomic status (SES), urban-rural differences, mHealth utilization, […]
A qualitative, multi-framework methodology for analysing health information technology–related patient safety incidents
BackgroundThe increasing reliance on health information technology (HIT) has introduced new and often unforeseen risks to patient safety in complex healthcare systems. Many HIT-related safety problems emerge only after systems are embedded in routine clinical practice and are difficult to identify using prospective or purely quantitative methods. Incident reports provide valuable insights into real-world failures, […]
Blinded two-phase evaluation of large language models in complex cardiac surgery: task-specific performance and human-AI collaboration
BackgroundLarge language models (LLMs) have demonstrated strong performance on standardized medical benchmarks. However, their potential in complex surgical decision-making is largely uncharacterized. Critically, human–LLM collaboration regarding the extent to which clinicians can effectively recognize and integrate model-generated reasoning has emerged as an unaddressed question. To address these gaps, we developed a two-phase evaluation framework to […]
Beyond accuracy: evaluating the operational feasibility and diagnostic yield of CAD4TB vs. Timika score for scalable TB screening in low-resource settings
Artificial intelligence has shown promise in enhancing tuberculosis care, but its use in resource-limited settings like Indonesia remains underexplored. This cross-sectional retrospective single-centre study evaluates the diagnostic performance of CAD4TB in screening Indonesian patients suspected of tuberculosis using chest x-ray (CXR) images, comparing its efficacy to the Timika score assessed by experts. We analyzed CXR […]
ASCO26: DNA test could spare breast cancer patients chemo
Millions of women with a breast cancer diagnosis could safely avoid chemotherapy that would not be effective, thanks to a genomics test.
Lilly licenses Hanmi GLP-2 drug in $1.26bn deal
Eli Lilly’s relentless pipeline-building drive has continued with a licensing deal for Hanmi’s sonefpeglutide, in phase 2 for short bowel syndrome.
Target-Side Paraphrase Augmentation for Sign Language Translation with Large Language Models
arXiv:2605.31393v1 Announce Type: cross Abstract: Sign language translation (SLT) remains constrained by limited paired sign-video/text corpora and heavy-tailed target vocabularies. We study target-side augmentation in which GPT-4o generates controlled paraphrase variants of reference sentences while the sign input remains unchanged. A Signformer-style pose-based Transformer is trained under a two-stage schedule: pre-training on the augmented corpus […]
Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation
arXiv:2605.30716v1 Announce Type: cross Abstract: Generating clinically useful pathology reports for pathology cases from whole-slide images (WSIs) is challenging due to gigapixel resolution, long visual-token sequences, and the complexity of case-level reasoning, where a single case may contain multiple WSIs with heterogeneous tissues and ambiguous findings. We present a simple token-efficient vision–language model for case-level […]