Enhancing trainee performance in obstetric ultrasound through an artificial intelligence system: randomized controlled trial.

Journal: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
PMID: 39289903

Abstract

OBJECTIVE: Performing obstetric ultrasound scans is challenging for inexperienced operators; therefore, the prenatal screening artificial intelligence system (PSAIS) software was developed to provide real-time feedback and guidance for trainees during their scanning procedures. The aim of this study was to investigate the potential benefits of utilizing such an artificial intelligence system to enhance the efficiency of obstetric ultrasound training in acquiring and interpreting standard basic views.

Authors

  • T Lei
    Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Q Zheng
    Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; School of Computer and Control Engineering, Yantai University, Yantai, 264005, China.
  • J Feng
    Department of Computer Science,University of Warwick,Coventry,UK.
  • L Zhang
    Department of Radiology, Baoji Center Hospital, Baoji, 721008, Shaanxi, China; Department of Radiology, Baoji Hi-Tech People's Hospital, Baoji, 721013, Shaanxi, China.
  • Q Zhou
    Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
  • M He
    Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • M Lin
  • H N Xie
    Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.

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