[Clinical Application of Artificial Intelligence-Based Detection Assistance Devices for Chest X-Ray Interpretation: Current Status and Practical Considerations].
Eui Jin HwangPublished in: Journal of the Korean Society of Radiology (2024)
Artificial intelligence (AI) technology is actively being applied for the interpretation of medical imaging, such as chest X-rays. AI-based software medical devices, which automatically detect various types of abnormal findings in chest X-ray images to assist physicians in their interpretation, are actively being commercialized and clinically implemented in Korea. Several important issues need to be considered for AI-based detection assistant tools to be applied in clinical practice: the evaluation of performance and efficacy prior to implementation; the determination of the target application, range, and method of delivering results; and monitoring after implementation and legal liability issues. Appropriate decision making regarding these devices based on the situation in each institution is necessary. Radiologists must be engaged as medical assessment experts using the software for these devices as well as in medical image interpretation to ensure the safe and efficient implementation and operation of AI-based detection assistant tools.
Keyphrases
- artificial intelligence
- deep learning
- healthcare
- machine learning
- primary care
- big data
- high resolution
- loop mediated isothermal amplification
- clinical practice
- quality improvement
- convolutional neural network
- decision making
- current status
- real time pcr
- label free
- magnetic resonance imaging
- dual energy
- photodynamic therapy
- magnetic resonance