Radiomics and AI-Driven Deep Learning for Cancer Diagnosis and Treatment

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ORIGINAL RESEARCH

Published on 18 Nov 2025

Deep-learning radiomics and hand-crafted radiomics utilizing contrast-enhanced MRI to predict early peritumoral recurrence after DEB-TACE with hepatocellular carcinoma: a two-center study

Jin Wang
Huan Liu
Yiman Li
Xueqin Ma
Hao Chen
Xiaoping Luo
Baolin Zhou
Xi Liu

doi 10.3389/fonc.2025.1642828

465 views

ORIGINAL RESEARCH

Published on 14 Nov 2025

Predicting early recurrence of colorectal cancer liver metastases: an integrative approach using radiomics and machine learning

Yanzong Lin
Yunxia Huang
Zhaohui Liu
Xiaobin Feng
Chunkang Yang

doi 10.3389/fonc.2025.1613093

768 views

ORIGINAL RESEARCH

Published on 06 Nov 2025

Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective study

Eun Sil Kim
Sungwon Ham
Bo Kyoung Seo
Ji Young Lee
Woong Sun
Minkyu Jeon
Minseok Joo
Seonghoon Park
Shuncong Wang
6 more
Soo-Yeon Kim

doi 10.3389/fonc.2025.1654508

772 views

OPINION

Published on 20 Oct 2025

Opinion paper: artificial intelligence as a clinical ally in lung cancer detection—the case for Gleamer’s ChestView

Esteban Zavaleta-Monestel
Sebastián Arguedas-Chacón
Jeaustin Mora-Jiménez
Kevin Cruz-Mora
Abraham Rocha-Romero

doi 10.3389/fonc.2025.1673369

652 views

ORIGINAL RESEARCH

Published on 13 Oct 2025

Deep learning radiomics model of epicardial adipose tissue for predicting postoperative atrial fibrillation after lung lobectomy in lung cancer patients

Zhan Liu
Chong Zheng
Zongxiao Jia
Chengwei Zhao
Xiangyu Liu
Weipeng Shao
Feng Chen
Hui Zhu
Hongbo Guo

doi 10.3389/fonc.2025.1623248

1,312 views

ORIGINAL RESEARCH

Published on 02 Oct 2025

Integration of 2D/3D deep learning and radiomics for predicting lymphovascular invasion in T1-stage invasive lung adenocarcinoma: a multicenter study

Xiuhua Peng
Shan Pi
Hongxing Zhao
Hupo Bian
Wenhui Li
Dongping Deng
Wenjian Xing
Haihua Hu
Shiyu Zhang
1 more
Hanfeng Pan

doi 10.3389/fonc.2025.1631013

1,136 views

ORIGINAL RESEARCH

Published on 22 Sep 2025

Predictive value of radiomics modeling based on dynamic and static 18F-FDG PET/CT imaging for the differential diagnosis of lymph nodes in lung cancer

Xieraili Wumener
Zhiheng Hu
Jiuhui Zhao
Hongjian Wang
Yarong Zhang
Yaohong Deng
Jun Zhao
Ying Liang

doi 10.3389/fonc.2025.1637366

973 views

ORIGINAL RESEARCH

Published on 08 Sep 2025

Development and validation of machine learning-based MRI radiomics models for preoperative lymph node staging in T3 rectal cancer

Xuelei Qubie
Weijuan Chen
Jun Chen
Jiangqin Ma
Xin Wei
Xiling Gu
Wei Zhang
Xiaojing He

doi 10.3389/fonc.2025.1610892

1,143 views

ORIGINAL RESEARCH

Published on 04 Sep 2025

Better performance of cerebral blood volume images synthesized from arterial spin labeling and standard MRI in separating glioblastoma recurrence from treatment response than arterial spin labeling

Danyang Wu
Yongsheng Pan
Yunxiao Zhou
Cuiyan Wang
Jingzhen He
Jiaxin Xiang
Bao Wang

doi 10.3389/fonc.2025.1647254

832 views

ORIGINAL RESEARCH

Published on 27 Aug 2025

Development of a radiomics and clinical feature-based nomogram for preoperative prediction of pathological grade in bladder cancer

Qi Zhou
Lu Ma
Yanhang Yu
Chuanao Zhang
Jun Ouyang
Caiping Mao
Zhiyu Zhang

doi 10.3389/fonc.2025.1661979

1,097 views
1 citation

ORIGINAL RESEARCH

Published on 21 Aug 2025

Prediction of bone oligometastases in breast cancer using models based on deep learning radiomics of PET/CT imaging

Guoxiu Lu
Ronghui Tian
Wei Yang
Jiayi Zhao
Wenjing Chen
Zijie Xiang
Shanhu Hao
Guoxu Zhang

doi 10.3389/fonc.2025.1621677

1,364 views

ORIGINAL RESEARCH

Published on 14 Aug 2025

Validation of a deep learning–based AI system for HER2-targeted breast cancer assessment using ultrasound imaging in a clinical setting

Kathryn Malherbe

doi 10.3389/fonc.2025.1639474

1,113 views

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Frontiers in Oncology

Cancer Imaging and Image-directed Interventions

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Articles

Deep-learning radiomics and hand-crafted radiomics utilizing contrast-enhanced MRI to predict early peritumoral recurrence after DEB-TACE with hepatocellular carcinoma: a two-center study

Predicting early recurrence of colorectal cancer liver metastases: an integrative approach using radiomics and machine learning

Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective study

Opinion paper: artificial intelligence as a clinical ally in lung cancer detection—the case for Gleamer’s ChestView

Deep learning radiomics model of epicardial adipose tissue for predicting postoperative atrial fibrillation after lung lobectomy in lung cancer patients

Integration of 2D/3D deep learning and radiomics for predicting lymphovascular invasion in T1-stage invasive lung adenocarcinoma: a multicenter study

Predictive value of radiomics modeling based on dynamic and static 18F-FDG PET/CT imaging for the differential diagnosis of lymph nodes in lung cancer

Development and validation of machine learning-based MRI radiomics models for preoperative lymph node staging in T3 rectal cancer

Better performance of cerebral blood volume images synthesized from arterial spin labeling and standard MRI in separating glioblastoma recurrence from treatment response than arterial spin labeling

Development of a radiomics and clinical feature-based nomogram for preoperative prediction of pathological grade in bladder cancer

Prediction of bone oligometastases in breast cancer using models based on deep learning radiomics of PET/CT imaging

Validation of a deep learning–based AI system for HER2-targeted breast cancer assessment using ultrasound imaging in a clinical setting

Frontiers in Oncology

Cancer Imaging and Image-directed Interventions