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Updated: Jul 6, 2025

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
Published on: July 28, 2023
Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to
Kosuke Okada1,2, Norio Yamada3, Kiyoko Takayanagi4
1The Research Institute of Tuberculosis (RIT), Japan Anti-Tuberculosis Association (JATA), Tokyo, Japan. okadak@jata.or.jp.
Artificial intelligence-based computer-aided detection (AI-CAD) shows promise for tuberculosis screening in community settings. This AI tool can significantly reduce the need for human readers and lab work in active case-finding efforts.
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2026-06-19T13:40:32.124091+00:00
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