Optimizing Cancer Healthcare with Clinical Decision Support
A special issue of Cancers (ISSN 2072-6694).
Deadline for manuscript submissions: 30 November 2026 | Viewed by 159
Special Issue Editors
Interests: clinical decision support systems; trust and human–AI interaction; AI safety and risk management; digital health and health informatics; human factors in healthcare; patient–provider communication and safety; explainable and responsible AI
Interests: healthcare systems engineering; data-driven healthcare analytics; health systems design; decision analytics; quality and safety in healthcare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in clinical decision support (CDS) systems and artificial intelligence are rapidly transforming cancer prevention, diagnosis, treatment planning, and survivorship care. However, the real-world impact of these technologies depends on their safety, interpretability, trustworthiness, and integration into complex clinical workflows. This Special Issue aims to bring together interdisciplinary research that examines how decision support tools, ranging from rule-based systems to advanced AI and large language models, can optimize cancer healthcare while minimizing risk and unintended consequences. We invite contributions that address methodological innovations, human factors, system-level evaluation, and implementation challenges across the cancer care continuum. By bridging engineering, informatics, and clinical perspectives, this Special Issue seeks to advance evidence-based, human-centered decision support solutions for high-quality and equitable cancer care.
Dr. Avishek Choudhury
Dr. Safa Elkefi
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 250 words) can be sent to the Editorial Office for assessment.
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
- cancer clinical decision support
- AI in oncology
- human-centered AI
- trust, safety and explainability
- health informatics
- decision analytics
- patient safety
- digital oncology
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