AIMC Topic: Intussusception

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Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs.

BMC medical imaging Mar 3, 2025
PURPOSES: To develop a predictive model for recurrent intussusception based on abdominal ultrasound (US) images and abdominal radiographs.
Humans Algorithms Retrospective Studies Female Male Infant Deep Learning Child, Preschool Child Ultrasonography ROC Curve Recurrence Intussusception Radiography, Abdominal
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Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children.

Scientific reports Dec 19, 2019
The purpose of this study was to develop and test the performance of a deep learning-based algorithm to detect ileocolic intussusception using abdominal radiographs of young children. For the training set, children (≤5 years old) who underwent abdomi...
Humans Algorithms Retrospective Studies Infant Deep Learning Image Processing, Computer-Assisted Ileal Diseases Intussusception Radiography, Abdominal
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[A Case of Adult Invagination Caused by Rectal Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy Nov 1, 2015
An 87-year-old man visited our hospital with a chief complaint of melena. Invagination caused by rectal cancer or sigmoid colon cancer was suspected as a result of physical and radiological examinations. Since there were no subjective symptoms, lapar...
Humans Aged, 80 and over Male Adenocarcinoma Neoplasm Staging Laparoscopy Sigmoid Neoplasms Anastomosis, Surgical Intussusception
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