Unveiling the Future of Cancer Imaging: The Rise of AI
Year: 2025
Type: article
Abstract: 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.
Author: Neha Chavan*, Manasi Kadam, Ankita Dhere, Supriya Shete, Tejashree Khamkar
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911991082
FWCI:
Cites:
Cited by:
Related to: