AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications
Journal:
arXiv
Published Date:
Jan 26, 2025
Abstract
Artificial intelligence (AI) has potential to revolutionize the field of
oncology by enhancing the precision of cancer diagnosis, optimizing treatment
strategies, and personalizing therapies for a variety of cancers. This review
examines the limitations of conventional diagnostic techniques and explores the
transformative role of AI in diagnosing and treating cancers such as lung,
breast, colorectal, liver, stomach, esophageal, cervical, thyroid, prostate,
and skin cancers. The primary objective of this paper is to highlight the
significant advancements that AI algorithms have brought to oncology within the
medical industry. By enabling early cancer detection, improving diagnostic
accuracy, and facilitating targeted treatment delivery, AI contributes to
substantial improvements in patient outcomes. The integration of AI in medical
imaging, genomic analysis, and pathology enhances diagnostic precision and
introduces a novel, less invasive approach to cancer screening. This not only
boosts the effectiveness of medical facilities but also reduces operational
costs. The study delves into the application of AI in radiomics for detailed
cancer characterization, predictive analytics for identifying associated risks,
and the development of algorithm-driven robots for immediate diagnosis.
Furthermore, it investigates the impact of AI on addressing healthcare
challenges, particularly in underserved and remote regions. The overarching
goal of this platform is to support the development of expert recommendations
and to provide universal, efficient diagnostic procedures. By reviewing
existing research and clinical studies, this paper underscores the pivotal role
of AI in improving the overall cancer care system. It emphasizes how AI-enabled
systems can enhance clinical decision-making and expand treatment options,
thereby underscoring the importance of AI in advancing precision oncology
