Research map: Explainable Machine Learning for Detecting Pancreatic Cancer from Structured Endoscopic Ultrasound Data: A Retrospective Multicenter Observational Study

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  1. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead · Cynthia D Rudin · 2019 · 10280 citations · Cited by this paper
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  17. Minimum sample size for external validation of a clinical prediction model with a binary outcome · Richard D Riley · 2021 · 389 citations · Cited by this paper
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  19. Technical aspects of endoscopic ultrasound (EUS)-guided sampling in gastroenterology: European Society of Gastrointestinal Endoscopy (ESGE) Technical Guideline – March 2017 · Marcin Polkowski · 2017 · 376 citations · Cited by this paper
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  21. Indications, results, and clinical impact of endoscopic ultrasound (EUS)-guided sampling in gastroenterology: European Society of Gastrointestinal Endoscopy (ESGE) Clinical Guideline · Jean‐Marc Dumonceau · 2011 · 312 citations · Cited by this paper
  22. The importance of being external. methodological insights for the external validation of machine learning models in medicine · Federico Cabitza · 2021 · 286 citations · Cited by this paper
  23. The need to separate the wheat from the chaff in medical informatics · Federico Cabitza · 2021 · 285 citations · Cited by this paper
  24. Efficacy of an Artificial Neural Network–Based Approach to Endoscopic Ultrasound Elastography in Diagnosis of Focal Pancreatic Masses · Adrian Săftoiu · 2011 · 198 citations · Cited by this paper
  25. Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis · Sovanlal Mukherjee · 2022 · 189 citations · Cited by this paper
  26. A manifesto on explainability for artificial intelligence in medicine · Carlo Combi · 2022 · 164 citations · Cited by this paper
  27. Patient-specific modeling of stroma-mediated chemoresistance of pancreatic cancer using a three-dimensional organoid-fibroblast co-culture system · Sebastian Schuth · 2022 · 159 citations · Cited by this paper
  28. Quantitative contrast-enhanced harmonic EUS in differential diagnosis of focal pancreatic masses (with videos) · Adrian Săftoiu · 2015 · 151 citations · Cited by this paper
  29. Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis · Neil B. Marya · 2020 · 145 citations · Cited by this paper
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  31. Artificial intelligence sepsis prediction algorithm learns to say “I don’t know” · Supreeth Prajwal Shashikumar · 2021 · 129 citations · Cited by this paper
  32. Why is pancreatic cancer so deadly? The pathologist's view · Ralph H. Hruban · 2019 · 123 citations · Cited by this paper
  33. Differential diagnosis of pancreatic cancer from normal tissue with digital imaging processing and pattern recognition based on a support vector machine of EUS images · Minmin Zhang · 2010 · 104 citations · Cited by this paper
  34. Age-based computer-aided diagnosis approach for pancreatic cancer on endoscopic ultrasound images · Mevlüt Kurt · 2016 · 92 citations · Cited by this paper
  35. Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography · Natália Alves · 2022 · 89 citations · Cited by this paper
  36. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in 18 F‐FDG PET/CT · Yuquan Zhang · 2019 · 84 citations · Cited by this paper
  37. Artificial intelligence using deep learning analysis of endoscopic ultrasonography images for the differential diagnosis of pancreatic masses · Takamichi Kuwahara · 2022 · 82 citations · Cited by this paper
  38. Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans · Panagiotis D. Korfiatis · 2023 · 73 citations · Cited by this paper
  39. Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble · Konstantin Dmitriev · 2017 · 71 citations · Cited by this paper

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