Accurate and efficient detection of road damage is essential for maintaining road safety and supporting intelligent transportation systems. While recent approaches leverage deep learning-based object detection frameworks, they often struggle with hig... read more
BACKGROUND: Radiologist burnout affects approximately 40% of US radiologists. Large language models (LLMs) may improve workflow efficiency, but real-world implementation data are limited. OBJECTIVE: To evaluate the impact of an LLM-assisted workflow ... read more
BACKGROUND/OBJECTIVE: Aneurysmal subarachnoid hemorrhage (aSAH) is complicated by angiographic cerebral vasospasm and delayed cerebral ischemia (DCI), distinct entities with different reference standards and surveillance targets. We mapped the eviden... read more
Electrical and structural remodeling of the heart can contribute to the development of cardiac arrhythmias. Ex vivo optical mapping has been used to visualize cardiac electrophysiological properties, activation and phase maps to further elucidate the... read more
Cardiovascular engineering and technology
Apr 20, 2026
Electrocardiography (ECG) plays a vital role in the diagnosis of cardiovascular diseases by analyzing the electrical activity of the heart. ECG semantic segmentation is a subfield focused on sample-wise delineation of ECG waveforms by assigning a phy... read more
BACKGROUND: Accurate prediction of clinical outcomes is challenging yet important for patient care. The aim of the study was to evaluate a deep learning-based methodology using tissue-wise information, as a proof of concept, for predicting parameters... read more
PURPOSE: Unilateral condylar hyperplasia (UCH) is a rare mandibular growth disorder in which accurate assessment of condylar metabolic activity is essential for surgical decision-making. Quantitative 99mTc-methylene diphosphonate (MDP) SPECT/CT is co... read more
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