Integrating Artificial Intelligence Into the Visualization and Modeling of Three-Dimensional Anatomy in Pediatric Surgical Patients.

Journal: Journal of pediatric surgery
PMID: 39095281

Abstract

BACKGROUND: Pediatric surgeons often treat patients with complex anatomical considerations due to congenital anomalies or distortion of normal structures by solid organ tumors. There are multiple applications for three-dimensional visualization of these structures based on cross-sectional imaging. Recently, advances in artificial intelligence (AI) applications and graphics hardware have made rapid 3D modelling of individual structures within the body accessible to surgeons without sophisticated and expensive hardware. In this report, we provide an overview of these applications and their uses in preoperative planning for pediatric surgeons.

Authors

  • Mark L Ryan
    Division of Pediatric Surgery, Department of Surgery, Children's Medical Center Dallas/University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address: Mark.Ryan@UTSouthwestern.edu.
  • Shengqing Wang
    University of Texas Southwestern School of Medicine, Dallas, TX, USA.
  • Samir R Pandya
    Division of Pediatric Surgery, Children's Medical Center & Department of Surgery, University of Texas Southwestern Medical Center, 1935 Medical District Drive, Suite D2000, Dallas, TX, 75235, USA. Electronic address: Samir.Pandya@utsouthwestern.edu.

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