Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.11.03.20224956v1, first published .
Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register

Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register

Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register

Journals

  1. Wise E, Leslie D, Amateau S, Hocking K, Scott A, Dutta N, Ikramuddin S. Prediction of thirty-day morbidity and mortality after duodenal switch using an artificial neural network. Surgical Endoscopy 2023;37(2):1440 View
  2. Sundbom M, Näslund I, Ottosson J, Stenberg E, Näslund E. Results from the Scandinavian Obesity Surgery Registry: A narrative review. Obesity Reviews 2024;25(2) View
  3. Al Sadi K, Balachandran W. Revolutionizing Early Disease Detection: A High-Accuracy 4D CNN Model for Type 2 Diabetes Screening in Oman. Bioengineering 2023;10(12):1420 View
  4. Şişik A, Dalkılıç M, Gençtürk M, Yılmaz M, Erdem H. Individualized Bariatric Surgery Utilizing Artificial Intelligence: A Call to Colleagues and New Year’s Aspiration. Obesity Surgery 2024;34(4):1380 View
  5. Scott A, Amateau S, Leslie D, Ikramuddin S, Wise E. Prediction of 30-Day Morbidity and Mortality After Conversion of Sleeve Gastrectomy to Roux-en-Y Gastric Bypass: Use of an Artificial Neural Network. The American Surgeon™ 2024;90(6):1202 View
  6. Byrne C, Targher G. MASLD, MAFLD, or NAFLD criteria: have we re-created the confusion and acrimony surrounding metabolic syndrome?. Metabolism and Target Organ Damage 2024;4(2) View
  7. Brydges G, Uppal A, Gottumukkala V. Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians. Current Oncology 2024;31(5):2727 View