Artificial Intelligence in Cancer - Baishideng Publishing Group

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Welcome to the Artificial Intelligence in Cancer

The target lesion was within the necrotic area, but the software warned that the safety margin was insufficient (red spot).

The various applications of artificial intelligence in cancer.

Principal subfields of artificial intelligence.

Deep learning.

Classical machine learning and deep learning models in artificial intelligence based thyroid cancer diagnostic algorithms.

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Can ChatGPT and DeepSeek help cancer patients: A comparative study of artificial intelligence models in clinical decision support

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INDEXING/ABSTRACTING

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GUIDELINES FOR AUTHORS

Artificial Intelligence in Cancer (AIC, Artif Intell Cancer) is a high-quality, open-access academic journal that employs a single-blind peer-review process. The journal focuses on publishing innovative, novel, and practical clinical, basic, and translational research achievements in the fields of artificial intelligence in cancer. The types of articles published in AIC include Editorial, Opinion Review, Frontier, Review, Minireview, Clinical Research, Basic Study, Systematic Review, Meta-analysis, Evidence-based Medicine, Field of Vision, Clinical Guidelines, Letter to the Editor, and Case Report. All submissions must comply with academic norms and ethical requirements. The journal is edited and published by the Baishideng Publishing Group. Submit here >>

2025 Published Issues

Editors-in-Chief

Cedric Coulouarn, PhD, Senior Researcher, (Email: cedric.coulouarn@inserm.fr) Institut National de la Sante et de la Recherche Medicale, Univ Rennes, Rennes 35033, France

Indexing/Abstracting

The AIC is now abstracted and indexed in Reference Citation Analysis, China Science and Technology Journal Database.

Journal Metrics

There is currently no impact factor.

ISSN

2644-3228 (online)

Latest Manuscript Statistics

Received (3), Peer Review Time (5 days/Mean), Time to First Decision (42 days/Mean), Second Decision Time (25 days/Mean), Accepted (33.3%/Mean), Production Time (40 days/Mean), Time to Publication (103 days/Mean), and Rejected (0.0%/Mean).

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Contents Volume 6 Issue 1 June 8, 2025

Retrospective Study

Can ChatGPT and DeepSeek help cancer patients: A comparative study of artificial intelligence models in clinical decision support

Meng Sun, Jun Yu, Jing-Wen Zhou, Ming Ye, Fang Ye, Mei Ding

Artif Intell Cancer 6(1):106356. Published online Jun 8, 2025. doi: 10.35713/aic.v6.i1.106356

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