Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.

Ibrahim H Musa Lukman O Afolabi Ibrahim Zamit Taha Hussien Musa Hassan Hussein Musa Andrew N Tassang Tosin Yinka Akintunde Wei Li

Published in: Cancer control : journal of the Moffitt Cancer Center (2022)

This bibliometric study provides detailed overview of the most cited empirical evidence in AI and ML adoption in cancer research that could efficiently help in designing future research. The innovations guarantee greater speed by using AI and ML in the detection and control of cancer to improve patient experience.

Keyphrases

artificial intelligence
machine learning
papillary thyroid
big data
squamous cell
deep learning
lymph node metastasis
emergency department
childhood cancer
squamous cell carcinoma
electronic health record
young adults
quantum dots