Bhavana Reddy Bommi Reddy,
Muchukota Sushma,
- Research Scholar, Department of Pharmacy Practice, Raghavendra Institute of Pharmaceutical Education and Research (RIPER) – Autonomous, Anantapur, Andhra Pradesh, India
- Associate Professor, Department of Pharmacy Practice, Aditya Bangalore Institute of Pharmacy Education & Research (ABIPER), Bangalore, India
Abstract
Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements across various cancer types, supported by case studies that demonstrate its real-world impact on precision oncology. AI-powered tools such as deep learning algorithms and natural language processing have revolutionized cancer screening and diagnostic accuracy, while also reducing time and resource constraints. Despite these successes, challenges such as data heterogeneity, algorithm interpretability, and regulatory barriers persist. This review also explores emerging trends in AI technologies and their potential to reshape oncology practices further. Future directions focus on addressing these challenges and enhancing the integration of AI into clinical workflows, fostering personalized and efficient cancer care. By bridging technological advancements with clinical needs, AI holds promise as a transformative force in oncology, improving patient outcomes and shaping the future of healthcare.
Keywords: Artificial intelligence (AI), Prognosis, Biomarker discovery, Natural language processing, Revolutionized cancer.
[This article belongs to Research and Reviews: Journal of Oncology and Hematology ]
Bhavana Reddy Bommi Reddy, Muchukota Sushma. Revolutionizing oncology – role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review. Research and Reviews: Journal of Oncology and Hematology. 2025; 14(01):18-22.
Bhavana Reddy Bommi Reddy, Muchukota Sushma. Revolutionizing oncology – role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review. Research and Reviews: Journal of Oncology and Hematology. 2025; 14(01):18-22. Available from: https://journals.stmjournals.com/rrjooh/article=2025/view=199424
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Research and Reviews: Journal of Oncology and Hematology
| Volume | 14 |
| Issue | 01 |
| Received | 29/11/2024 |
| Accepted | 04/12/2024 |
| Published | 18/02/2025 |
| Publication Time | 81 Days |
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