Matthew Grudza, Brandon Salinel, Sarah Zeien, Matthew Murphy, Jake Adkins, Corey T Jensen, Curtis Bay, Vikram Kodibagkar, Phillip Koo, Tomislav Dragovich, Michael A Choti, Madappa Kundranda, Tanveer Syeda-Mahmood, Hong-Zhi Wang, John Chang
BACKGROUND: Missing occult cancer lesions accounts for the most diagnostic errors in retrospective radiology reviews as early cancer can be small or subtle, making the lesions difficult to detect. Second-observer is the most effective technique for reducing these events and can be economically implemented with the advent of artificial intelligence (AI). AIM: To achieve appropriate AI model training, a large annotated dataset is necessary to train the AI models. Our goal in this research is to compare two methods for decreasing the annotation time to establish ground truth: Skip-slice annotation and AI-initiated annotation...
December 28, 2023: World Journal of Radiology