Skip to main content

Main menu

  • Home
  • About
    • About CBM
    • Editorial Board
    • Announcement
  • Articles
    • Ahead of print
    • Current Issue
    • Archive
    • Collections
    • Cover Story
  • For Authors
    • Instructions for Authors
    • Resources
    • Submit a Manuscript
  • For Reviewers
    • Become a Reviewer
    • Instructions for Reviewers
    • Resources
    • Outstanding Reviewer
  • Subscription
  • Alerts
    • Email Alerts
    • RSS Feeds
    • Table of Contents
  • Contact us
  • Other Publications
    • cbm

User menu

  • My alerts

Search

  • Advanced search
Cancer Biology & Medicine
  • Other Publications
    • cbm
  • My alerts
Cancer Biology & Medicine

Advanced Search

 

  • Home
  • About
    • About CBM
    • Editorial Board
    • Announcement
  • Articles
    • Ahead of print
    • Current Issue
    • Archive
    • Collections
    • Cover Story
  • For Authors
    • Instructions for Authors
    • Resources
    • Submit a Manuscript
  • For Reviewers
    • Become a Reviewer
    • Instructions for Reviewers
    • Resources
    • Outstanding Reviewer
  • Subscription
  • Alerts
    • Email Alerts
    • RSS Feeds
    • Table of Contents
  • Contact us
  • Follow cbm on Twitter
  • Visit cbm on Facebook
EditorialEditorial
Open Access

Integrating artificial intelligence into radiological cancer imaging: from diagnosis and treatment response to prognosis

Sunyi Zheng, Xiaonan Cui and Zhaoxiang Ye
Cancer Biology & Medicine January 2025, 22 (1) 6-13; DOI: https://doi.org/10.20892/j.issn.2095-3941.2024.0422
Sunyi Zheng
Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, State Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaonan Cui
Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, State Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zhaoxiang Ye
Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, State Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Zhaoxiang Ye
  • For correspondence: [email protected]
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
Loading

Article Information

vol. 22 no. 1 6-13
DOI 
https://doi.org/10.20892/j.issn.2095-3941.2024.0422

Published By 
Cancer Biology & Medicine
History 
  • Received September 26, 2024
  • Accepted January 3, 2025
  • Published online February 4, 2025.

Copyright & Usage 
Copyright: © 2025, The Authors This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Author Information

Funding

  • National Natural Science Foundation of China

    82171932
  • National Natural Science Foundation of China

    82302180
  • Ministry of Science and Technology of China

    2024ZD0520002
  • Chinese National Key Research and Development Project

    2021YFC2500402
  • Chinese National Key Research and Development Project

    2021YFC2500400
  • National Health Commission Capacity Building and Continuing Education Center

    YXFSC2022JJSJ011
  • Tianjin Key Medical Discipline (Specialty) Construction Project

    TJYXZDXK-010A
  • Scientific Developing Foundation of Tianjin Education Commission

    2024KJ182

This study was funded by grants from the National Natural Science Foundation of China (Grant Nos. 82171932 and 82302180), the Ministry of Science and Technology of China (Grant No. 2024ZD0520002), the Chinese National Key Research and Development Project (Grant Nos. 2021YFC2500402 and 2021YFC2500400), the National Health Commission Capacity Building and Continuing Education Center (Grant No. YXFSC2022JJSJ011), the Tianjin Key Medical Discipline (Specialty) Construction Project (Grant No. TJYXZDXK-010A), and the Scientific Developing Foundation of Tianjin Education Commission (Grant No. 2024KJ182).

PreviousNext
Back to top

In this issue

Cancer Biology & Medicine: 22 (1)
Cancer Biology & Medicine
Vol. 22, Issue 1
15 Jan 2025
  • Table of Contents
  • Index by author
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on Cancer Biology & Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Integrating artificial intelligence into radiological cancer imaging: from diagnosis and treatment response to prognosis
(Your Name) has sent you a message from Cancer Biology & Medicine
(Your Name) thought you would like to see the Cancer Biology & Medicine web site.
Citation Tools
Integrating artificial intelligence into radiological cancer imaging: from diagnosis and treatment response to prognosis
Sunyi Zheng, Xiaonan Cui, Zhaoxiang Ye
Cancer Biology & Medicine Jan 2025, 22 (1) 6-13; DOI: 10.20892/j.issn.2095-3941.2024.0422

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Integrating artificial intelligence into radiological cancer imaging: from diagnosis and treatment response to prognosis
Sunyi Zheng, Xiaonan Cui, Zhaoxiang Ye
Cancer Biology & Medicine Jan 2025, 22 (1) 6-13; DOI: 10.20892/j.issn.2095-3941.2024.0422
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • AI technologies applied in radiology
    • AI for cancer diagnosis
    • AI for treatment response evaluation
    • AI for cancer prognosis
    • Potential of AI beyond clinical practice
    • Conclusions and future perspectives
    • Conflict of interest statement
    • Author contributions
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Chinese Society of Clinical Oncology Non-small Cell Lung Cancer (CSCO NSCLC) guidelines in 2024: key update on the management of early and locally advanced NSCLC
  • Updates to the 2024 CSCO advanced non-small cell lung cancer guidelines
  • Elucidating the synergistic roles of CD4+ T and dendritic cells in antitumor immunity
Show more Editorial

Similar Articles

Navigate

  • Home
  • Current Issue

More Information

  • About CBM
  • About CACA
  • About TMUCIH
  • Editorial Board
  • Subscription

For Authors

  • Instructions for authors
  • Journal Policies
  • Submit a Manuscript

Journal Services

  • Email Alerts
  • Facebook
  • RSS Feeds
  • Twitter

 

© 2025 Cancer Biology & Medicine

Powered by HighWire