The diagnostic performance of automatic B-lines detection for evaluating pulmonary edema in the emergency department among novice point-of-care ultrasound practitioners.

Journal: Emergency radiology
PMID: 39951213

Abstract

PURPOSE: B-lines in lung ultrasound have been a critical clue for detecting pulmonary edema. However, distinguishing B-lines from other artifacts is a challenge, especially for novice point of care ultrasound (POCUS) practitioners. This study aimed to determine the efficacy of automatic detection of B-lines using artificial intelligence (Auto B-lines) for detecting pulmonary edema.

Authors

  • Kamonwon Ienghong
    Department of Emergency Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
  • Lap Woon Cheung
    Accident & Emergency Department, Princess Margaret Hospital, Kowloon, Hong Kong, China.
  • Dhanu Gaysonsiri
    Department of Pharmacology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
  • Korakot Apiratwarakul
    Department of Emergency Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand. korakot@kku.ac.th.

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