Google Research study on assistive AI for CT lung cancer screening shows increased radiologist specificity
Google Research reports a retrospective multinational study (US and Japan) in Radiology AI evaluating an assistive ML system for lung cancer CT screening that outputs a four-category suspicion rating and localized regions of interest; randomized reader studies found that radiologist specificity increased with model assistance. The team improved prior models (including self-attention), deployed a 13-model system on Google Cloud/GKE, and open-sourced code to generate PACS-compatible CT images to facilitate similar evaluations.