The above article was published online with an incorrect affiliation.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852962 | PMC |
| http://dx.doi.org/10.1007/s00234-020-02565-y | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Novel Electrocardiographic Marker for Predicting Total Mortality in Ischemic Stroke: Frontal QRS-T Angle.
Turk Kardiyol Dern Ars
January 2025
Department of Cardiology, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, İstanbul, Türkiye.
Objective: This study aimed to investigate the relationship between mortality and the frontal QRS-T angle (FQRS-TA), obtained by calculating the absolute difference between the QRS and T waves electrocardiographically (ECG), in patients diagnosed with ischemic stroke (IS).
Methods: This research is a retrospective and cross-sectional study. The diagnosis of IS was confirmed through brain imaging and physical examination.
Semi-Automatic Refinement of Myocardial Segmentations for Better LVNC Detection.
J Clin Med
January 2025
Hospital Virgen de la Arrixaca, 30120 Murcia, Spain.
Accurate segmentation of the left ventricular myocardium in cardiac MRI is essential for developing reliable deep learning models to diagnose left ventricular non-compaction cardiomyopathy (LVNC). This work focuses on improving the segmentation database used to train these models, enhancing the quality of myocardial segmentation for more precise model training. We present a semi-automatic framework that refines segmentations through three fundamental approaches: (1) combining neural network outputs with expert-driven corrections, (2) implementing a blob-selection method to correct segmentation errors and neural network hallucinations, and (3) employing a cross-validation process using the baseline U-Net model.
View Article and Find Full Text PDFModeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential.
Animals (Basel)
December 2024
One Health Unit, Department of Biomedical, Surgical and Dental Sciences, School of Medicine, University of Milan, 20133 Milan, Italy.
Mastitis represents a significant challenge for dairy farming, resulting in economic losses and environmental impacts. This study assesses a model for the evaluation of the impact of mastitis on dairy productivity and Global Warming Potential (GWP) under diverse management scenarios. The model considers a range of factors, including bedding materials, milking systems, health surveillance, and overcrowding.
View Article and Find Full Text PDFThe importance of clinical experience in AI-assisted corneal diagnosis: verification using intentional AI misleading.
Sci Rep
January 2025
Department of Ophthalmology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki, Japan.
We developed an AI system capable of automatically classifying anterior eye images as either normal or indicative of corneal diseases. This study aims to investigate the influence of AI's misleading guidance on ophthalmologists' responses. This cross-sectional study included 30 cases each of infectious and immunological keratitis.
View Article and Find Full Text PDFEvaluating the prognostic value of radiomics and clinical features in metastatic prostate cancer using [Ga]Ga-PSMA-11 PET/CT.
Phys Eng Sci Med
January 2025
School of Physics, Mathematics and Computing, University of Western Australia, Crawley, WA, Australia.
Prostate cancer is a significant global health issue due to its high incidence and poor outcomes in metastatic disease. This study aims to develop models predicting overall survival for patients with metastatic biochemically recurrent prostate cancer, potentially helping to identify high-risk patients and enabling more tailored treatment options. A multi-centre cohort of 180 such patients underwent [Ga]Ga-PSMA-11 PET/CT scans, with lesions semi-automatically segmented and radiomic features extracted from lesions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!