Exploring Artificial Intelligence Biases in Predictive Models for Cancer Diagnosis.

ABSTRACT: The American Society of Clinical Oncology (ASCO) has released the principles for the responsible use of artificial intelligence (AI) in oncology emphasizing fairness, accountability, oversight, equity, and transparency. However, the extent to which these principles are followed is unknown. The goal of this study was to assess the presence of biases and the quality of studies on AI models according to the ASCO principles and examine their potential impact through citation analysis and subsequent research applications. A review of original research articles centered on the evaluation of predictive models for cancer diagnosis published in the ASCO journal dedicated to informatics and data science in clinical oncology was conducted. Seventeen potential bias criteria were used to evaluate the s

SUBMITTER: Smiley A 

PROVIDER: S-EPMC11816222 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature