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Trastuzumab plus Adjuvant Chemotherapy for Operable HER2-Positive Breast Cancer

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Review of the Role of Radiomics in Tumour Risk Classification and Prognosis of Cancer

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T1 Stage Clear Cell Renal Cell Carcinoma: A CT-Based Radiomics Nomogram to Estimate the Risk of Recurrence and Metastasis

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Artificial Intelligence and Precision Medicine: A Perspective

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Challenges and future of precision medicine strategies for breast cancer based on a database on drug reactions

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Radiomics assessment of carotid intraplaque hemorrhage: detecting the vulnerable patients

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Radiomic Models Predict Tumor Microenvironment Using Artificial Intelligence—the Novel Biomarkers in Breast Cancer Immune Microenvironment

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Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers

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Habitat-Based Radiomics for Revealing Tumor Heterogeneity and Predicting Residual Cancer Burden Classification in Breast Cancer

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Early detection and analysis of accurate breast cancer for improved diagnosis using deep supervised learning for enhanced patient outcomes

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Delta-radiomics Analysis Based on Multi-phase Contrast-enhanced MRI to Predict Early Recurrence in Hepatocellular Carcinoma After Percutaneous Thermal Ablation

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Physician centred imaging interpretation is dying out — why should I be a nuclear medicine physician?

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MRI-based radiogenomics analysis for predicting genetic alterations in oncogenic signalling pathways in invasive breast carcinoma

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Integrative analysis of DNA methylation and gene expression profiles identified potential breast cancer-specific diagnostic markers

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MRI-based breast cancer radiogenomics using RNA profiling: association with subtypes in a single-center prospective study

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Regulatory issues for artificial intelligence in radiology

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Radiomics at a Glance: A Few Lessons Learned from Learning Approaches

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Beyond Breast Density: Radiomic Phenotypes Enhance Assessment of Breast Cancer Risk

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Integrated analysis of spatial transcriptomics and CT phenotypes for unveiling the novel molecular characteristics of recurrent and non-recurrent high-grade serous ovarian cancer

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Study Processes and Applications of Ultrasomics in Precision Medicine

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Unsupervised Analysis Based on DCE-MRI Radiomics Features Revealed Three Novel Breast Cancer Subtypes with Distinct Clinical Outcomes and Biological Characteristics

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Natural products targeting cancer cell dependency

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Statistical considerations for repeatability and reproducibility of quantitative imaging biomarkers

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Automatic analysis framework based on 3D-CT multi-scale features for accurate prediction of Ki67 expression levels in substantial renal cell carcinoma

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An Overview of the Use of Precision Population Medicine in Cancer Care: First of a Series

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Diagnostic performance of image-guided vacuum-assisted breast biopsy after neoadjuvant therapy for breast cancer: prospective pilot study

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Effect of multiple peritumoral regions of interest ranges based on computed tomography radiomics for the prediction of early recurrence of hepatocellular carcinoma after resection

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Subclassification of BI-RADS 4 Magnetic Resonance Lesions: A Systematic Review and Meta-Analysis

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Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women

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Radioproteomics in patients with ovarian cancer

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Proteomic Profiles of Neurodegeneration Among Mexican Americans and Non-Hispanic Whites in the HABS-HD Study

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The role of radiogenomics in the diagnosis of breast cancer: a systematic review

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The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction

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Radiomics nomogram for predicting axillary lymph node metastasis in breast cancer based on DCE-MRI: A multicenter study

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Making Sense of Genetic Information: The Promising Evolution of Clinical Stratification and Precision Oncology Using Machine Learning

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Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study

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Unveiling Pharmacogenomics Insights into Circular RNAs: Toward Precision Medicine in Cancer Therapy

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Breast Cancer Radiogenomics: Association of Enhancement Pattern at DCE MRI with Deregulation of mTOR Pathway

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Deciphering molecular mechanisms of metastasis: novel insights into targets and therapeutics

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Radiogenomics in prostate cancer evaluation

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Radiomic Signatures Derived from Hybrid Contrast-Enhanced Ultrasound Images (CEUS) for the Assessment of Histological Characteristics of Breast Cancer: A Pilot Study

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Big data in breast cancer: Towards precision treatment

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Predicting Kirsten Rat Sarcoma Virus Gene Mutation Status in Patients With Colorectal Cancer by Radiomics Models Based on Multiphasic CT

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Effects of MRI radiomics combined with clinical data in evaluating lymph node metastasis in mrT1-3a staging rectal cancer

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Identification of a novel pathogenic variant in PALB2 and BARD1 genes by a multigene sequencing panel in triple negative breast cancer in Morocco

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Radiogenomics study to predict the nuclear grade of renal clear cell carcinoma

He, X., Zhao, J.-X., He, D.-L., Ren, J.-L., Zhao, L., & Huang, G. (2023) · European Journal of Radiology Open · doi:10.1016/j.ejro.2023.100476 · Cited by 9

Gender Medicine in Clinical Radiology Practice

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Nuclear medicine radiomics in digestive system tumors: Concept, applications, challenges, and future perspectives

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The Intersection of Genetics and Neuroimaging: A Systematic Review of Imaging Genetics in Neurological Disease for Personalized Treatment

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MRI-based Habitat Analysis for the Prediction of Progression-Free Survival in Primary Spinal Tumors

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Images Are Data: A Breast Imaging Perspective on a Contemporary Paradigm

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Data integration and mechanistic modelling for breast cancer biology: Current state and future directions

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Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset

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A Proposed TUSC7/miR-211/Nurr1 ceRNET Might Potentially be Disturbed by a cer-SNP rs2615499 in Breast Cancer

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Conditional probabilistic diffusion model driven synthetic radiogenomic applications in breast cancer

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Spatial-temporal radiogenomics in predicting neoadjuvant chemotherapy efficacy for breast cancer: a comprehensive review

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Epigenetic Reprogramming and Landscape of Transcriptomic Interactions: Impending Therapeutic Interference of Triple-Negative Breast Cancer in Molecular Medicine

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Construction of a radiogenomic signature based on endoplasmic reticulum stress for predicting prognosis and systemic combination therapy response in hepatocellular carcinoma

Wu, H.-Y., Cao, S.-Y., Xu, Z., Wang, T., Ji, G., & Wang, K. (2025) · BMC Cancer · doi:10.1186/s12885-025-13433-4 · Cited by 7

Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study

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The quality and clinical translation of radiomics studies based on MRI for predicting Ki-67 levels in patients with breast cancer

Wang, M., Mei, T., & Gong, Y. (2023) · British Journal of Radiology · doi:10.1259/bjr.20230172 · Cited by 7

Special Issue “Advances in Breast MRI”

Galati, F., Trimboli, R. M., & Pediconi, F. (2021) · Diagnostics · doi:10.3390/diagnostics11122297 · Cited by 7

Development and validation of an MRI-based nomogram for the preoperative prediction of tumor mutational burden in lower-grade gliomas

Liu, E., Zhou, S., Li, Y., Zhang, S., Ma, Z., Guo, J., Guo, L., Zhang, Y., Guo, Q., & Xu, L. (2022) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-21-300 · Cited by 6

Change Is Good: The Evolution and Future of Breast Imaging

Moy, L. P. (2023) · Radiology · doi:10.1148/radiol.230018 · Cited by 7

Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study

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Radiomics - Quantitative Biomarker Analysis for Breast Cancer Diagnosis and Prediction: A Review

Moyya, P. D., & Asaithambi, M. (2021) · Current Medical Imaging Formerly Current Medical Imaging Reviews · doi:10.2174/1573405617666210303102526 · Cited by 7

Assessing the Content and Effect of Web-Based Decision Aids for Postmastectomy Breast Reconstruction: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Yu, L., Gong, J., Sun, X. S., Zang, M., Liu, L., & Yu, S. (2024) · Journal of Medical Internet Research · doi:10.2196/53872 · Cited by 6

Radiogenomics: Current Understandings and Future Perspectives

Zhang, X., Lai, Q., Cao, J. L., Ching, J. C. F., Teng, X., Zhang, J., Lee, S. W. Y., Ren, G., & Cai, J. (2026) · MedComm · doi:10.1002/mco2.70583 · Cited by 6

A nomogram model combining ultrasound-based radiomics features and clinicopathological factors to identify germline BRCA1/2 mutation in invasive breast cancer patients

Guo, R., Yu, Y., Huang, Y., Lin, M., Liao, Y., Hu, Y., Li, Q., Peng, C., & Zhou, J. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23383 · Cited by 6

Global research trends of Artificial Intelligence and Machine Learning applied in medicine: A bibliometric analysis (2012–2022)

Nicolò, V. D., & Torre, D. L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13671-9.00004-1 · Cited by 6

Bibliometric and visual analysis of radiomics for evaluating lymph node status in oncology

Lyu, G., Tong, T., Yang, G., Zhao, J., Xu, Z.-F., Zheng, N., & Zhang, Z. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1501652 · Cited by 6

A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging

Hamlomo, S., Atemkeng, M., Brima, Y., Nunhokee, C. D., & Baxter, J. (2025) · Neural Computing and Applications · doi:10.1007/s00521-025-11055-2 · Cited by 6

Radiomics of Dynamic Contrast-Enhanced MRI for Predicting Radiation-Induced Hepatic Toxicity After Intensity Modulated Radiotherapy for Hepatocellular Carcinoma: A Machine Learning Predictive Model Based on the SHAP Methodology

Liu, F., Chen, L., Wu, Q., Li, L., Li, J., Su, T., Li, J.-X., Liang, S., & Qing, L. (2025) · Journal of Hepatocellular Carcinoma · doi:10.2147/jhc.s523448 · Cited by 6

AI in spotting high-risk characteristics of medical imaging and molecular pathology

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Radiogenomics of breast cancer as new vector of interdisciplinary integration of radiation and molecular biological technologies (literature review)

Ni, R., Bozhenko, K. V., Игоревна, Б. И., Бадрузамановна, З. С., Александровна, К. Е., Гаджимурадовна, Л. П., Mazo, M. L., Mikushin, S. Y., Павлович, П. С., & Yakobs, O. E. (2020) · Medical alphabet · doi:10.33667/2078-5631-2020-20-21-29 · Cited by 6

Application of Noninvasive Imaging to Combined Immune Checkpoint Inhibitors for Breast Cancer: Facts and Future

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Genomics and radiomics: Tools to see the unseen to personalize radiation therapy

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

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Assessment of the Spatial Heterogeneity of Breast Cancers: Associations Between Computed Tomography and Immunohistochemistry

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Artificial Intelligence in Medicine and Privacy Preservation

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Digital Analysis in Breast Imaging

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Artificial Intelligence (AI) for Breast Cancer Detection: Trends, Challenges, and Future Directions

Mondal, J., Rahman, M. M., Ferdush, J., Parvez, M. M. H., Uddin, M. N., & Akter, L. (2026) · Springer eBooks · doi:10.1007/978-981-95-3682-5_19 · Cited by 6

Uncovering the molecular subtypes of triple-negative breast cancer with a noninvasive radiomic methodology

Su, G.-H., Xiao, Y., Jiang, Y., & Shao, Z.-M. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100808 · Cited by 4

Exploration of 68Ga-DOTA-MAL as a Versatile Vehicle for Facile Labeling of a Variety of Thiol-Containing Bioactive Molecules

Si, Z., Cheng, Y., Xu, Z., Shi, D., Shi, H., & Cheng, D. (2023) · ACS Omega · doi:10.1021/acsomega.2c06720 · Cited by 4

Integrating single‐cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell‐related genes

Mao, J., Liu, L., Shen, Q., & Cen, M.-Y. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.18549 · Cited by 4

Identifying cell types by lasso-constraint regularized Gaussian graphical model based on weighted distance penalty

Zhang, W., Xu, Y., Zheng, X., Shen, J., & Li, Y. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae572 · Cited by 4

Identifying Associations between DCE-MRI Radiomic Features and Expression Heterogeneity of Hallmark Pathways in Breast Cancer: A Multi-Center Radiogenomic Study

Ming, W., Zhu, Y., Li, F., Bai, Y., Gu, W., Liu, Y., Sun, X. S., Liu, X., & Liu, H. (2022) · Genes · doi:10.3390/genes14010028 · Cited by 4

Textural Analysis as a Predictive Biomarker in Rectal Cancer

Alrahawy, M., Aker, M., Issa, M., Ali, O., Noureldin, K., Gaber, A., Mahgoub, A., Ahmed, M. N., Yousif, M., & Zeinaldine, A. (2022) · Cureus · doi:10.7759/cureus.32241 · Cited by 4

Background, applications and challenges of radiogenomics in genitourinary tumor.

Liu, L., Yi, X., Lü, C., Pang, Y., Zu, X., Chen, M., & Guan, X. (2021) · PubMed Central · Cited by 4

Impact of Molecular Subtype Definitions on AI Classification of Breast Cancer at MRI

Bae, M. S. (2023) · Radiology · doi:10.1148/radiol.223041 · Cited by 4

AI for Women's Health: Framework and Focus Areas

Jie Lu, B., Dawson, A. J., Guo, K., Fox, D. J., Ramezani, F., Morton, S., Baird, K. M., Soo, Z., Lu, K., Long, G., et al. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3701716.3718981 · Cited by 3

Preoperative model for predicting early recurrence in hepatocellular carcinoma patients using radiomics and deep learning: A multicenter study

Li, Y., Qian, G., Yao, L., Lei, X.-D., Zhu, Y., Tang, L., Xu, Z.-L., Bu, X.-Y., Wei, M.-T., Lu, J., et al. (2025) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v17.i6.106608 · Cited by 3

Preliminary study on diagnosis of gallbladder neoplastic polyps based on contrast-enhanced ultrasound and grey scale ultrasound radiomics

Qin, Z., Ding, J., Fu, Y., Zhou, H., Wang, Y., & Xiang, J. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1370010 · Cited by 3

LUNGBANK: A Novel Biorepository Strategy Tailored for Comprehensive Multi-Omics Analysis and P-Medicine Applications in Lung Cancer

Ceker, D., Baysungur, V. S., Evman, S., Kolbaş, İ., Gördebil, A., Nalbantoğlu, S., Tambağ, Y., Kaçar, Ö., Midi, A., Aslanoğlu, H., et al. (2024) · TURKISH JOURNAL OF BIOLOGY · doi:10.55730/1300-0152.2696 · Cited by 3

Application value of modified radical mastectomy in female patients with breast cancer of different molecular types: a prognosis study.

Dong, B., Yin, X., Xu, H., Zhou, K., Li, L., Tian, B., & Cui, R. (2022) · PubMed Central · Cited by 3

Integration of Radiomics and Immune-Related Genes Signatures for Predicting Axillary Lymph Node Metastasis in Breast Cancer

Li, X., Yang, L., Jiang, F., & Jiao, X. (2024) · Clinical Breast Cancer · doi:10.1016/j.clbc.2024.06.014 · Cited by 3

The Radiogenomics of Late-onset Alzheimer Disease

Bonham, L. W., Sirkis, D. W., Hess, C. P., Sugrue, L. P., & Yokoyama, J. S. (2019) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000222 · Cited by 3

Precision interventional radiology

Ji, J., Fang, S., chen, M., Zheng, L., Chen, W., Zhao, Z., & Cheng, Y. (2021) · Journal of interventional medicine · doi:10.1016/j.jimed.2021.09.002 · Cited by 3

Radiomics Model Based on Shear-Wave Elastography Can Predict the Axillary Lymph Node Status in Early-Stage Breast CancerPreprint

Jiang, M., Li, C., Chen, R., Tang, S.-C., Luo, X., Chuan, Z.-R., Lv, W., Cui, X., & Dietrich, C. F. (2020) · Research Square · doi:10.21203/rs.3.rs-75554/v1 · Cited by 3

Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with breast cancer

Zheng, Y., Zhang, H., Chen, H., Song, Y. S., Lu, P., Ma, M., Lin, M., & He, M. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1452128 · Cited by 2

HER2 (2+)/SISH-positive vs. HER2 (3+) Breast Cancer: Pre-treatment MRI Differences and Accuracy of pCR Prediction on Post-treatment MRI

Park, G. E., Mun, H. S., Kim, S. H., & Kang, B. J. (2025) · Academic Radiology · doi:10.1016/j.acra.2025.04.010 · Cited by 2

Imaging Ductal Carcinoma In Situ in the Era of De-Escalation: Role, Limits, and Clinical Implications for Risk-Adapted Management

Buono, M., Schiavone, L., Rizzo, S., Musto, L. A., Gatta, G., Pilati, L., & Caumo, F. (2026) · Diagnostics · doi:10.3390/diagnostics16050776 · Cited by 2

Radiogenomics: a key component of precision cancer medicine

Liu, Z.-Q., Duan, T., Zhang, Y.-Y., Weng, S.-Y., Xu, H.-X., Ren, Y.-Q., Zhang, Z.-Y., & Han, X.-W. (2023) · British Journal of Cancer · doi:10.1038/s41416-023-02317-8 · Cited by 98

Radiogenomics in breast cancer: a review

Гаранина, А. Е., & Васильевич, Х. А. (2024) · Diagnostic radiology and radiotherapy · doi:10.22328/2079-5343-2024-15-1-15-21 · Cited by 1

Radiogenomics: bridging the gap between imaging and genomics for precision oncology

He, W., Huang, W., Zhang, L., Wu, X., Zhang, S., & Zhang, B. (2024) · MedComm · doi:10.1002/mco2.722 · Cited by 64

Progress on radiomics and radiogenomics and their applications in breast cancer: A survey

(2023) · Data Science and Informetrics · doi:10.59494/dsi.2023.4.6 · Cited by 1

Combining molecular and imaging metrics in cancer: radiogenomics

Gullo, R. L., Naranjo, I. D., Morris, E. A., & Pinker, K. (2020) · Insights into Imaging · doi:10.1186/s13244-019-0795-6 · Cited by 183