Journal of the Korean Society of Radiology (대한영상의학회지)

The Korean Society of Radiology (대한영상의학회)
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Clinical Application of Artificial IntelligenceBased Detection Assistance Devices for Chest X-Ray Interpretation: Current Status and Practical Considerations

흉부 X선 인공지능 검출 보조 의료기기의 임상 적용: 현황 및 현실적 고려 사항

  • Eui Jin Hwang (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine)
  • 황의진 (서울대학교 의과대학 서울대학교병원 영상의학과)
  • Received : 2024.04.12
  • Accepted : 2024.07.04
  • Published : 2024.07.01
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Abstract

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.

흉부 X선은 인공지능 기술이 활발히 적용되고 있는 대표적인 영상 검사이다. 흉부 X선 영상에서 다양한 이상 소견을 자동으로 검출하여 의사의 판독을 보조하는 인공지능 기반 소프트웨어 의료기기들이 국내에서 시판되고 있고, 임상 적용이 활발히 이루어지고 있다. 이러한 흉부 X선 인공지능 검출 보조 의료기기의 임상 도입에 있어, 도입 전 성능 및 유효성 평가, 적용 대상, 분석 결과 제공의 대상 및 방식, 도입 후 모니터링, 법적 책임 문제 등 다양한 현실적인 사항에 대한 고려가 필요하고, 각 의료기관의 상황에 따른 적절한 의사결정이 필요하다. 인공지능 검출 보조 의료기기의 안전하고 효율적인 도입 및 운영을 위해서는 전문 지식을 갖춘 영상의학과 전문의의 적극적인 역할이 필수적이다.

Keywords

References

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