AIMC Topic: Retrospective Studies
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The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.
The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Jun 23, 2025
: Early identification and timely preventive interventions play an essential role for improving the prognosis of newborns with necrotizing enterocolitis (NEC). Thus, establishing a novel and simple prediction model is of great clinical significance. ...
Enhancing MRI efficiency in musculoskeletal examinations: Impact of optimized facility design and workflow optimization efforts.
European journal of radiology
Jun 23, 2025
BACKGROUND: To assess the workflow efficiency of an optimized MRI facility design compared to conventional facilities.
Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.
BMC nephrology
Jun 23, 2025
OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, characterized by immune complex deposition in the glomerular mesangium, leading to mesangial hypercellularity, persistent microhematuria, proteinuria, and prog...
Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.
BMJ open ophthalmology
Jun 23, 2025
PURPOSE: Some patients with neovascular age-related macular degeneration (nAMD) have persistent signs of exudation under treatment with intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. We examined the real-world anato...
Female
Aged
Aged, 80 and over
Male
Angiogenesis Inhibitors
Follow-Up Studies
Visual Acuity
Intravitreal Injections
Humans
Subretinal Fluid
Tomography, Optical Coherence
Fluorescein Angiography
Artificial Intelligence
Wet Macular Degeneration
Retrospective Studies
Antibodies, Bispecific
Vascular Endothelial Growth Factor A
Drug Substitution
France
Exudates and Transudates
Development of Radiomics-Based Risk Prediction Models for Stages of Hashimoto's Thyroiditis Using Ultrasound, Clinical, and Laboratory Factors.
Ultrasound in medicine & biology
Jun 22, 2025
OBJECTIVES: To develop a radiomics risk-predictive model for differentiating the different stages of Hashimoto's thyroiditis (HT).
Innovative AI models for clinical decision-making: predicting blastocyst formation and quality from time-lapse embryo images up to embryonic day 3.
Computers in biology and medicine
Jun 21, 2025
Accurate embryo assessment on embryonic day 3 of assisted reproductive technology (ART) is crucial for deciding whether to continue the culture until day 5 (blastocyst stage) or opt for earlier transfer or cryopreservation. Prolonged culture often im...
Deep learning dosiomics in grade 4 radiation-induced lymphopenia prediction in radiotherapy for esophageal cancer: a multi-center study.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jun 21, 2025
PURPOSE: To investigate the feasibility and accuracy of using deep learning and dosiomics features, as well as their combination with dose-volume histogram (DVH) parameters and clinical factors to predict grade 4 radiation-induced lymphopenia (G4RIL)...
Quantification of Breast Arterial Calcification in Mammograms Using a UNet-Based Deep Learning for Detecting Cardiovascular Disease.
Academic radiology
Jun 20, 2025
BACKGROUND: Breast arterial calcification (BAC) is increasingly recognized as a significant indicator of cardiovascular risk, necessitating improvements in detection and quantification methods through mammographic screening.
Performance assessment of an artificial intelligence algorithm for opportunistic screening of abdominal aortic aneurysms.
Clinical imaging
Jun 19, 2025
PURPOSE: Abdominal aortic aneurysm (AAA) is a common incidental finding on CT imaging performed in the acute care setting. Artificial intelligence (AI) algorithms have been developed to automatically measure aortic lumen size and thus facilitate AAA ...
Development of a Machine Learning-Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study.
Journal of medical Internet research
Jun 19, 2025
BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive care unit (ICU) and can adversely impact prognosis and augment the risk of complications.
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