Statistics of Generative Artificial Intelligence and Nongenerative Predictive Analytics Machine Learning in Medicine
Hooman H. Rashidi, Bo Hu, Joshua Pantanowitz, Nam K. Tran, Silvia Liu, Alireza Chamanzar, Mert Gur, Chung‐Chou H. Chang, Yanshan Wang, Ahmad P. Tafti, Liron Pantanowitz, Matthew G. Hanna
Abstract
). To this end, the goal of this review article (as part 4 of our AI review series) is to provide an overview and a comparative measure of statistical measures and methodologies used in both generative AI and traditional (ie, nongenerative predictive analytics) ML fields along with their strengths and known limitations. By understanding their similarities and differences along with their respective applications, we will become better stewards of this transformative space, which ultimately enables us to better address our current and future needs and challenges in a more responsible and scientifically sound manner.