J Korean Soc Radiol.
2024 Jul;85(4):705-713. 10.3348/jksr.2024.0044.
Studies and Real-World Experience Regarding the Clinical Application of Artificial Intelligence Software for Lung Nodule Detection
- Affiliations
-
- 1Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
- KMID: 2558414
- DOI: http://doi.org/10.3348/jksr.2024.0044
Abstract
- This article discusses studies and real-world experiences related to the clinical application of artificial intelligence-based computer-aided detection (AI-CAD) software (LuCAS-plus, Monitor Corporation) in detecting pulmonary nodules. During clinical trials for lung cancer screening, AI-CAD exhibited performance comparable to that of medical professionals in terms of sensitivity and specificity. Studies revealed that applying AI-CAD for diagnosing pulmonary metastases led to high detection rates. The use of a nodule matching algorithm in diagnosing pulmonary metastases significantly reduced false non-metastasis results. In clinical settings, implementing AI-CAD enhanced the efficiency of pulmonary nodule detection, saving time and effort during CT reading. Overall, AI-CAD is expected to offer substantial support for lung cancer screening and the interpretation of chest CT scans for malignant tumor surveillance.
- Full Text Links
-
- Actions
-
Cited
- CITED
-
- Close
- Share
-
- Similar articles
-
- Medicine in the Fourth Industrial Revolution: What Should We Prepare?
- Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm
- Artificial Intelligence for Improved Patient Outcomes—The Pragmatic Randomized Controlled Trial Is the Secret Sauce
- Clinical Application of Artificial IntelligenceBased Detection Assistance Devices for Chest X-Ray Interpretation: Current Status and Practical Considerations
- Real World Data and Artificial Intelligence in Diabetology
