Convolution Neural Network based Next Generation Neonatal Surgery: Innovations and Interventions in Precision surgery for New-borns

Authors

  • Jayandrath R. Mangrolia
  • Hemanshu Patel
  • Anjali Rajput

Keywords:

Convolution Neural Network (CNN), Deep Learning, Congenital Diaphragmatic Hernia (CDH), Congenital Lung Malformations (CLM)

Abstract

Surgical operations carried out on newborns, usually during the first 28 days of their lives, are referred to as neonatal surgery. These operations are frequently required to treat life-threatening illnesses or congenital abnormalities (birth defects) that are discovered either before or soon after delivery. Using machine learning and deep learning, artificial intelligence can revolutionize conventional surgical techniques. One kind of artificial neural network that is particularly good at identifying patterns in visual data is the Convolutional Neural Network (CNN). It does this by employing a unique layer known as a convolutional layer, which uses a process known as convolution to learn how to extract features from the input data. Congenital lung malformations, congenital diaphragmatic hernia (CDH), intestinal atresia, necrotizing enterocolitis (NEC), and esophageal tresia /tracheoesophageal fistula (EA/TEF) are among the critical conditions that can be identified in newborns using a variety of diagnostic techniques, including clinical cases examined using plain radiographs, CT scans, prenatal ultrasounds, and magnetic resonance imaging (MR) images. CNN can accurately identify and categories the kind and degree of a newborn's condition. The evaluation of several CNN-based advanced procedures for newborns, together with their difficulties and potential developments, is the main emphasis of this study.

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Published

2025-05-06

How to Cite

1.
R. Mangrolia J, Patel H, Rajput A. Convolution Neural Network based Next Generation Neonatal Surgery: Innovations and Interventions in Precision surgery for New-borns. J Neonatal Surg [Internet]. 2025May6 [cited 2025Oct.12];14(2S):148-52. Available from: https://jneonatalsurg.com/index.php/jns/article/view/5252