Artificial Intelligence vs. Doctors: Diagnosing Necrotizing Enterocolitis on Abdominal Radiographs

In brief

This study compares deep learning AI models against senior surgical residents in diagnosing necrotizing enterocolitis from abdominal X-rays. The research evaluates whether machine learning can match human diagnostic accuracy in detecting this life-threatening neonatal condition through radiographic pattern recognition.

• Radiographic diagnosis of NEC remains challenging even for experienced clinicians due to subtle imaging findings.
• Deep learning models can recognize imaging patterns in NEC that may be difficult for human observers to detect consistently.
• AI diagnostic performance for NEC on abdominal radiographs approaches that of senior surgical residents.
• Machine learning may serve as a decision-support tool to improve early NEC detection and reduce diagnostic variability.

Written by the GCMD Library team from the article.