AI in Oncological Cancer Detection
Keywords:
Oncological Cance, AI, Cancer Detection, Medical Imaging,, Histopathology, Liquid BiopsyAbstract
Artificial Intelligence (AI) is revolutionizing the landscape of oncological cancer detection by improving diagnostic accuracy, reducing interpretation time, and aiding in early identification of malignancies. This paper provides a comprehensive review of AI techniques applied in cancer detection, including machine learning (ML), deep learning (DL), convolutional neural networks (CNNs), and other AI models. We delve into various medical modalities—imaging, histopathology, genomics, and liquid biopsy—highlighting how AI integrates with each. The paper also includes a thorough literature survey, outlines current challenges, discusses ethical and regulatory issues, and concludes with future prospects of AI-driven oncology.
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Data Availability Statement
This study is a literature review and does not involve the generation of new datasets. All data referenced in this paper are publicly available through the cited sources.
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Copyright (c) 2025 zamin hamid, Mohd Maaz Sheikh, Bhanu Prakash Jha (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
