Artificial Intelligence and Machine Learning in Lung Cancer Screening: Current Applications and Future Directions
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".
Deadline for manuscript submissions: 30 November 2026
Special Issue Editors
2. Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Interests: cancer genomics; cancer immunology; tumor heterogeneity
Special Issues, Collections and Topics in MDPI journals
Interests: radiogenomics; machine learning; tumor heterogeneity
Special Issue Information
Dear Colleagues,
We are excited to announce this call for submissions for a Special Issue of Cancers titled “Artificial Intelligence and Machine Learning in Lung Cancer Screening: Current Applications and Future Directions”. Lung cancer remains a major global health challenge, and the integration of AI and ML into screening offers great promise for earlier detection and better patient outcomes. This Special Issue will highlight recent advances and applications in this area, and we welcome original research and reviews covering topics such as the following:
- AI algorithms for early detection and individualized risk assessment;
- Multimodal integration (low-dose CT, clinical biomarkers) to improve diagnostic accuracy;
- Risk-based screening intervals and personalized follow-up protocols;
- Robustness, bias, explainability, and ethical considerations in development and deployment;
- Comparative studies evaluating the efficacy of AI-assisted screening programs.
All submissions will undergo rigorous peer review to ensure quality and relevance. We welcome contributions from researchers, clinicians, data scientists, and healthcare professionals engaged in lung cancer screening and AI.
By bringing together the latest work in this area, the Special Issue will advance the field and promote more effective screening strategies. If you have any questions or require further support, please feel free to contact us.
Thank you, and we look forward to receiving your valuable contributions.
Dr. Jianjun Zhang
Dr. Jia Wu
Dr. Morteza Salehjahromi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- lung cancer screening
- low-dose CT
- early detection
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
