Prostate age gap: An MRI surrogate marker of aging for prostate cancer detection

A Fernandez‐Quilez, T Nordström… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Aging is the most important risk factor for prostate cancer (PC). Imaging
techniques can be useful to measure age‐related changes associated with the transition to …

[HTML][HTML] Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population

B Kerber, T Hepp, T Küstner, S Gatidis - Plos one, 2023 - journals.plos.org
Aging is an important risk factor for disease, leading to morphological change that can be
assessed on Computed Tomography (CT) scans. We propose a deep learning model for …

AI analysis of chest radiographs as a biomarker of biological age

PS Babyn, SJ Adams - The Lancet Healthy Longevity, 2023 - thelancet.com
Chronological age is the greatest risk factor for most common chronic diseases. However,
molecular and cellular age-related decline varies substantively between individuals …

Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40,000 Subjects of the UK Biobank

V Ecker, M Früh, B Yang, S Gatidis… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Age plays an important role in shaping medical decisions, but the biological changes
associated with aging do not solely depend on the chronological age. Genetics, lifestyle …

AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients

J Siva, A Bartholomew, C Goebel… - arXiv preprint arXiv …, 2024 - arxiv.org
Kidney cancer is a global health concern, and accurate assessment of patient frailty is
crucial for optimizing surgical outcomes. This paper introduces AI Age Discrepancy, a novel …

Lung age estimation from low-dose chest CT images using deep learning

H Kikuno, R Tanaka, S Kobayashi… - Medical Imaging …, 2024 - spiedigitallibrary.org
Purpose: To develop a deep learning model to estimate lung age based on low-dose chest
computed tomography (CT) images and investigate the feasibility of its application in health …