Artificial Intelligence in Early Detection of Cancer: Current Trends and Future Prospects

Abstract

Artificial intelligence (AI) has emerged as a transformative tool in the healthcare sector, particularly in the early detection of cancer. By leveraging machine learning (ML) and deep learning (DL) algorithms, AI systems have shown the potential to identify patterns in medical data that may be imperceptible to the human eye. This paper explores the current trends in AIdriven cancer detection technologies, their applications in various types of cancer, and the challenges faced in the integration of these systems into clinical practice. Furthermore, the future prospects of AI in oncology are discussed, focusing on the potential advancements in technology, the integration of multi-modal data, and the ethical considerations surrounding AI use in healthcare.