The Rise of Hypothesis-Driven Artificial Intelligence in Oncology.

ABSTRACT: Cancer is a complex disease involving the deregulation of intricate cellular systems beyond genetic aberrations and, as such, requires sophisticated computational approaches and high-dimensional data for optimal interpretation. While conventional artificial intelligence (AI) models excel in many prediction tasks, they often lack interpretability and are blind to the scientific hypotheses generated by researchers to enable cancer discoveries. Here we propose that hypothesis-driven AI, a new emerging class of AI algorithm, is an innovative approach to uncovering the complex etiology of cancer from big omics data. This review exemplifies how hypothesis-driven AI is different from conventional AI by citing its application in various areas of oncology including tumor classification, patient str

SUBMITTER: Xianyu Z 

PROVIDER: S-EPMC10886811 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature