Ultrasound is the most widely deployed imaging modality worldwide, yet clinical AI remains fragmented into narrow single-task models that fail when device, operator, or anatomy changes. Here we present SonoCorpus, an open resource unifying 456,963 images and 1,626,085 expert masks from 53 public datasets spanning 24 cl...
Chao Qin, F. Khan, Salman H. Khan et al.· 0 citations
Lung ultrasound (LUS) is a bedside tool for assessing pulmonary edema in patients at risk due to heart failure or impaired kidney function. However, automated LUS analysis remains challenging because of speckle noise, imaging artifacts, and operator-dependent acquisition variability. In this work, we present a deep lea...
Alya Almsouti, Lotfi Abdelkrim Mecharbat, Noha Aboukhater et al.· arXiv.org· 0 citations
A human-centered, systems-based agentic AI architecture for sepsis risk modeling and proactive clinical management that embeds predictive intelligence within the broader socio-technical work system, enabling closed-loop monitoring, coordination of safety-critical tasks, and feedback-driven adaptation.
A patient-focused, systems-based framework for AI-enhanced VR training in home PD, informed by human-centereddesign is presented, which integrates realistic procedural simulations with AI-driven feedback on sequencing and sterile technique, while modeling the complete PD workflow within the home as a safety-critical ca...
Sarah Ahmed Alkindi, Saed Amer, Mecit Can Emre Simsekler et al.· AHFE International· 0 citations
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