BackgroundAccurate prediction of short-term mortality in sepsis patients is critical for timely clinical decision-making. However, existing deep learning models often focus on static physiological parameters while neglecting the dynamic response to m... read more
The American journal of bioethics : AJOB
May 6, 2026
As healthcare organizations' use of generative AI moves from initial experimentation to scaled deployments, the need to build oversight systems to identify and address ethical challenges assumes greater urgency. Among the AI applications attracting t... read more
In the current digital era, emotional and mental health challenges are becoming very common. Therefore, it is essential to find new and effective ways to support emotional well-being. In this work, we propose ThinkAI helps individuals to better under... read more
Despite rapid advancements in artificial intelligence (AI) for medical imaging, widespread clinical adoption remains limited. In March 2025, the Academy for Radiology & Biomedical Imaging Research convened a cross-sector roundtable to examine operati... read more
Purpose To develop a deep learning model that automatically delineates the eight liver Couinaud segments and the spleen on CT for future liver remnant (FLR) volumetry. Materials and Methods In this retrospective study (January 2001 and October 2025),... read more
OBJECTIVES: To develop and evaluate an artificial intelligence (AI) system that automatically identifies and classifies the fetal structures in the first trimester. METHOD: Over 20,000 ultrasound images from first-trimester fetuses were prospectively... read more
BackgroundDigital technologies are reshaping leadership in nursing, making it essential to understand how digital leadership relates to attitudes toward artificial intelligence in nursing.ObjectiveThis study was conducted to determine the effects of ... read more
PURPOSE: To determine the prevalence of disability-free survival (DFS) five years after elective non-cardiac surgery in older adults, and to identify preoperative factors associated with DFS using conventional statistical analyses and machine learnin... read more
Virchows Archiv : an international journal of pathology
May 6, 2026
Activated cancer-associated fibroblasts (aCAFs), characterized by distinct histological features including fibroblast proliferation and extensive desmoplasia, play a key role in tumor progression induced by cancer cell infiltration and may serve as i... read more
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