Artificial intelligence in breast cancer diagnosis and personalized medicine

JS Ahn, S Shin, SA Yang, EK Park… - Journal of Breast …, 2023 - pmc.ncbi.nlm.nih.gov
Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …

Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain

H Kim, BK Karaman, Q Zhao, AQ Wang… - Proceedings of the …, 2025 - pnas.org
Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A
central goal in longitudinal studies is tracking relevant change over time. Traditional …

Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk Prediction

EK Park, H Lee, M Kim, T Kim, J Kim, KH Kim, T Kooi… - Diagnostics, 2024 - mdpi.com
The purposes of this study were to develop an artificial intelligence (AI) model for future
breast cancer risk prediction based on mammographic images, investigate the feasibility of …

Artificial intelligence in healthcare and medicine technology development review

D Chung - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
This paper deals with the need for artificial intelligence (AI) such as Convolutional Neural
Network (CNN), Recurrent Neural Network (RNN), Natural Language Processing (NLP) …

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks

Z Zhou, D Hao, D Arefan, M Zuley, J Sumkin… - ar** individualized
screening and prevention. Despite the promising potential of recent mammogram (MG) …