A recent systematic review published in the National Center for Biotechnology Information (NCBI) explores the current state of artificial intelligence (AI) in cancer diagnosis. The review aims to provide an overview of the applications, benefits, and limitations of AI in cancer diagnosis.
The review analyzed various studies that utilized AI algorithms, such as machine learning and deep learning, for cancer diagnosis. The results show that AI can improve the accuracy and efficiency of cancer diagnosis, particularly in imaging-based diagnostics.
The review highlights several benefits of AI in cancer diagnosis, including improved diagnostic accuracy, reduced false positives, and enhanced patient outcomes. However, the review also notes several limitations and challenges, such as the need for high-quality data, the risk of bias, and the requirement for regulatory frameworks.
Overall, the review suggests that AI has the potential to revolutionize cancer diagnosis, but further research is needed to address the challenges and limitations associated with its application.
