Unveiling the Future of Cancer Imaging: The Rise of AI
AI has truly transformed the area of cancer imaging and made radical changes in the improved diagnosis, therapy approaches, and patient outcomes. The applications, advantages, and difficulties of AI in cancer imaging are highlighted in this review paper. Applications of AI in lung, breast, and prostate cancers are discussed, along with the potential to enhance evaluation, diagnosis, and treatment strategy; issues and constraints with AI in cancer imaging; precision and prognostication; and the significance of clinician education and training. Lastly, we explore future directions of AI in cancer imaging, such as multimodality data and more transparent and interpretable AI algorithms.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-08
- DOI
- https://doi.org/10.5281/zenodo.15176411
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00