Segmentation of the pulmonary vessel from computed tomography (CT) images plays a crucial role in the diagnosis and treatment of various lung diseases. Although deep learning-based approaches have shown remarkable progress in recent years, their perf... read more
OBJECTIVE: OpenAI, Google, and Microsoft have recently developed popular large language models (LLMs) with incredible clinical applications. LLMs specific to neurosurgery, such as AtlasGPT, have also been recently released. However, the comparative n... read more
OBJECTIVE: Surface electromyographic (sEMG) signals of the diaphragm provide a valuable physiological signal for real-time respiratory monitoring, particularly in clinical applications such as radiotherapy tracking and intensive care, where accurate ... read more
INTRODUCTION: Suicidal thoughts and behaviours (STB) are a critical public health concern, with 700 000 deaths by suicide each year. The period immediately following hospital discharge is associated with an elevated risk for suicide. Monitoring suici... read more
INTRODUCTION: Coronary artery bypass grafting (CABG) is a technically demanding procedure where surgical skill directly influences outcomes. Traditional evaluation relies on expert subjective judgement, which is resource-intensive and lacks scalabili... read more
Journal of epidemiology and community health
Feb 6, 2026
OBJECTIVES/BACKGROUND: This study examines the relationship between occupational transitions out of agriculture and functional health outcomes among rural adults in Bangladesh, with a focus on gender differences and variation by duration of exposure ... read more
Accurately predicting the activity of a chemical in each bioactivity assay based on its already known properties is extremely useful in drug development. Unfortunately, we discovered that many assays in widely used assay-activity benchmark datasets d... read more
The Egyptian Plant Leaf Image Dataset (EgyPLI) is the first comprehensive collection of plant leaf images curated in Egypt to support research in automated plant identification. It addresses the lack of locally representative datasets and the broader... read more
The digital economy, society and politics are increasingly shaped by cloud-based data. The advancement of transformative technologies, such as artificial intelligence, is placing unprecedented demands on data centres. This has driven an intense pursu... read more
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