Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,541 to 1,550 of 213,568 articles

AI-SOFA: An EMR-integrated Nursing Informatics-driven Decision Support System for Mortality Risk-informed ICU Clinical Decision-making.

Computers, informatics, nursing : CIN
Accurate and timely mortality prediction is essential for nursing clinical decision-making in intensive care units (ICUs). Although the Sequential Organ Failure Assessment (SOFA) score is widely used to evaluate organ dysfunction, its manual calculat... read more 

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
BACKGROUND: Ovarian cancer (OVCA) is a common and highly aggressive gynecologic malignancy often diagnosed at advanced stages. Approximately 30% of patients develop platinum resistance, resulting in disease recurrence and progression. Currently, no d... read more 

Event-sparse stack denoising for 4D-STEM applications.

Ultramicroscopy
We introduce a denoising method for four-dimensional scanning transmission electron microscopy (4D-STEM) for Bragg diffraction analysis that relies on processing local, scan position-independent electron event-sparse data stacks, called event-sparse ... read more 

Predicting higher education students' continued intention and self-reported use of generative AI tools in academic work: An extended UTAUT mixed-methods study.

Acta psychologica
This study investigated the factors shaping Chinese higher education students' continued intention and self-reported use of generative artificial intelligence (GenAI) tools in academic work. Drawing on an extended Unified Theory of Acceptance and Use... read more 

Automated early preterm detection using hybrid multimodal attention network with gated fusion.

Computers in biology and medicine
Preterm birth is a major pregnancy complication associated with increased maternal and neonatal risks, making early detection of labor essential. Electrohysterography (EHG), provides a non-invasive approach for monitoring uterine dynamics. However, g... read more 

Machine-learning-guided control of a pulsed cold atmospheric plasma jet reveals a voltage-dependent discharge transition relevant to diabetic wound healing.

Computers in biology and medicine
Cold atmospheric plasma (CAP) technology is promising for biomedical treatment, but its translation is limited by the difficulty of identifying operating conditions that simultaneously preserve non-thermal discharge stability, enhance reactive-specie... read more 

Testing the emergentist theory of number perception throughout development.

Cognitive psychology
The origins of abstract concepts remain a central question in cognitive science. Empiricist theories propose that such concepts can be acquired through a set of domain-general learning mechanisms, whereas nativist accounts maintain that most abstract... read more 

Application of machine learning techniques for predicting seawater intrusion vulnerability in a coastal alluvial aquifer of eastern India.

Marine pollution bulletin
Groundwater contamination is a major concern worldwide, especially in coastal regions, due to increasing seawater intrusion into aquifers. In eastern India, increasing salinization of coastal aquifers necessitates robust predictive tools for assessin... read more 

Machine learning-supported cross-excitation laser-induced fluorescence lidar for the classification of oil spill.

Marine pollution bulletin
Accurate identification of the spilled oil type was crucial for implementing suitable emergency response measures and guiding further marine oil pollution remediation. A cross-excitation laser-induced fluorescence (LIF) lidar was developed to acquire... read more