Garza Frias, Emiliano | Mass General Brigham, US
Scientific poster presentation (W5B-SPCH-4) at RSNA 2023, 26 – 30. November 2023 in Chicago, US
Purpose: Are consecutive cohort analyses with NLP and comprehensive decision-support AI for CXR a valid tool for quality control?
Method: NLP-based radiology reports search was performed on 3,760 adult CXR studies and compared with the result of a comprehensive AI algorithm for chest X-ray (Annalise.ai).
Results: NLP extracted reports and AI output showed high levels of concordance. The AI model showed good performance at detecting over- and undercalls.
Key Takeaway: NLP and comprehensive AI discrepancy analysis can be a valuable approach to quality assessment and control.
Interested in learning more? Get in touch at info@annalise.ai