Artificial intelligence in cardiovascular medicine: clinical applications
TF Lüscher, FA Wenzl, F D'Ascenzo… - European heart …, 2024 - academic.oup.com
Clinical medicine requires the integration of various forms of patient data including
demographics, symptom characteristics, electrocardiogram findings, laboratory values …
demographics, symptom characteristics, electrocardiogram findings, laboratory values …
Organomics: A concept reflecting the importance of PET/CT healthy organ radiomics in non-small cell lung cancer prognosis prediction using machine learning
Purpose: Non-small cell lung cancer (NSCLC) is the most common subtype of lung cancer.
Patient survival prediction using machine learning and radiomics analysis proved to provide …
Patient survival prediction using machine learning and radiomics analysis proved to provide …
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models
The progress in deep learning solutions for disease diagnosis and prognosis based on
cardiac magnetic resonance imaging is hindered by highly imbalanced and biased training …
cardiac magnetic resonance imaging is hindered by highly imbalanced and biased training …
MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study
S Hassan, D Akaila, M Arjemandi, V Papineni… - arXiv preprint arXiv …, 2024 - arxiv.org
In the complex realm of cognitive disorders, Alzheimer's disease (AD) and vascular
dementia (VaD) are the two most prevalent dementia types, presenting entangled symptoms …
dementia (VaD) are the two most prevalent dementia types, presenting entangled symptoms …
[PDF][PDF] Relation of Pericardial Adipose Tissue Thickness by Echocardiography to Coronary Artery Disease
KW Hassan, OF Othman - University of Thi-Qar Journal Of Medicine, 2024 - jmed.utq.edu.iq
Relation of Pericardial Adipose Tissue Thickness by Echocardiography to Coronary Artery
Disease Page 1 Thi-Qar Medical Journal (TQMJ): Vol. (28), No. (2), 2024 Web Site: https://jmed.utq.edu …
Disease Page 1 Thi-Qar Medical Journal (TQMJ): Vol. (28), No. (2), 2024 Web Site: https://jmed.utq.edu …