Artificial Intelligence in Oncology and Cardiovascular Treatment: Challenges and Opportunities for Precision Healthcare

Artificial Intelligence (AI) is transforming precision medicine, particularly in oncology and cardiovascular (CV) treatment, by enabling more accurate diagnoses, personalized treatments, and improved patient outcomes. The objective of this study is to explore the role and perceptions of Artificial Intelligence (AI) in Oncology and Cardiovascular (CV) treatment challenges and opportunities for precision healthcare management, focusing on its effectiveness in enhancing patient safety, reducing errors, and optimizing treatment. We conducted a systematic review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. 

This systematic review aimed to synthesize the literature on AI in healthcare. To identify relevant articles, we conducted comprehensive searches in PubMed, Google Scholar, Web of Science, Scopus and ScienceDirect in September 2025 using targeted search terms, including "AI applications", "opportunities" and "future challenges". By aggregating and analyzing large volumes of data and applying them to clinical tasks through various algorithms and models, AI plays a pivotal role in advancing precision medicine, particularly in the fields of cardiology and oncology. In this study, we outline the future opportunities for AI use in Oncology and Cardiovascular medicine. This review aims to provide valuable resources to clinicians and researchers and encourage further investigation in this field.