Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Dec 24, 2025
Among all 2024 emergency department visits for acute respiratory illness or conjunctivitis across a statewide healthcare system (n = 13 494), generative artificial intelligence-based surveillance with adjunctive human review rapidly and cost-effectiv...
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Dec 23, 2025
BACKGROUND AND HYPOTHESIS: Chronic kidney disease is a major global health concern, with air pollution increasingly recognized as a key contributor to kidney function decline. This study hypothesizes that exposure to air pollution accelerates kidney ...
PURPOSE: While there are studies on this topic, there may be a relative scarcity of research focusing on specific regions, such as Jordan. So, this study aims to gather insights from healthcare providers in Jordan concerning the advantages of integra...
BACKGROUND: Invasive mold infections (IMI) can lead to severe morbidity and mortality, but routine public health surveillance is lacking. Although extensive evaluation is needed for clinical diagnosis, case classification prediction models may inform...
PURPOSE: To investigate the diagnostic accuracy, feasibility and end-user experiences of an artificial intelligence (AI)-based, automated diabetic retinopathy (DR) screening model in real-world, Australian primary care and endocrinology clinics.
BACKGROUND: Deep learning (DL) models are effective pre-screening tools for detecting mismatch repair deficiency (dMMR) in colorectal carcinoma (CRC). These models have been trained and validated on large cohorts from the Northern Hemisphere, without...
BACKGROUND AND AIMS: Cardiovascular ageing is a progressive loss of physiological reserve, modified by environmental and genetic risk factors, that contributes to multi-morbidity due to accumulated damage across diverse cell types, tissues, and organ...
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 5, 2025
Early detection of uterine diseases is critically important for women's reproductive health. Here, we propose a novel and robust serum-based SERS analysis platform that integrates machine learning algorithms. This is the first application of it in th...
Multiple sclerosis (MS) is a highly heterogeneous disease in its clinical manifestation and progression. Predicting individual disease courses is key for aligning treatments with underlying pathobiology. We developed an unsupervised machine learning ...
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