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DEEP LEARNING AND DIGITAL SINGLE-OPERATOR CHOLANGIOSCOPY (DSOC): AUTOMATIC DIAGNOSIS OF MALIGNANCY STATUS AND MORPHOLOGICAL CHARACTERIZATION OF BILIARY STRICTURES

Gastrointestinal endoscopy, 2022-06, Vol.95 (6), p.AB313-AB314

2022

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S825 Deep Learning and Capsule Endoscopy: Automatic Panendoscopic Detection of Vascular Lesions

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S611-S611

2023

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S523 Artificial Intelligence and Capsule Panendoscopy: Development of a Convolutional Neural Network for the Automatic Detection of Pleomorphic Esophageal Lesions

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S380-S380

2023

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Artificial intelligence for automatic diagnosis of biliary stricture malignancy status in single-operator cholangioscopy: a pilot study

Gastrointestinal endoscopy, 2022-02, Vol.95 (2), p.339-348

2022

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S594 Development and Validation of a Convolutional Neural Network for the Automatic Detection of Multiple Gastric Lesions in Multi-brand Capsule Endoscopy Videos: A Pilot Study

The American journal of gastroenterology, 2022-10, Vol.117 (10S), p.e418-e419

2022

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S599 Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Pleomorphic Gastrointestinal Lesions in Device-Assisted Enteroscopy

The American journal of gastroenterology, 2022-10, Vol.117 (10S), p.e421-e421

2022

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S25 Deep Learning for the Automatic Identification of Neoplastic Biliary Nodules in Patients With Indeterminate Biliary Stenosis During Digital Cholangioscopy

The American journal of gastroenterology, 2022-10, Vol.117 (10S), p.e20-e20

2022

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DEEP LEARNING AND DEVICE-ASSISTED ENTEROSCOPY: AUTOMATIC PANENDOSCOPIC DETECTION OF ULCERS AND EROSIONS

Gastrointestinal endoscopy, 2023-06, Vol.97 (6), p.AB1240-AB1240

2023

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DEEP LEARNING AND CAPSULE ENDOSCOPY: PANENDOSCOPIC CLASSIFICATION OF SMALL BOWEL AND COLON PREPARATION USING A CONVOLUTIONAL NEURAL NETWORK

Gastrointestinal endoscopy, 2023-06, Vol.97 (6), p.AB765-AB765

2023

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S699 Deep Learning and Minimally Invasive Endoscopy – Panendoscopic Detection of Pleomorphic Lesions

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S512-S512

2023

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S61 Deep Learning and Endoscopic Ultrasound: Automatic Characterization of Pancreatic Cystic Lesions—A Bicentric Study

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S53-S54

2023

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S698 Deep Learning and Device-Assisted Enteroscopy: Multi-Device and Multi-Brand Detection of Pan-Endoscopic Pleomorphic Lesions

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S511-S512

2023

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S173 Deep Learning and High-Resolution Anoscopy: Assessing the Impact of Staining and Overcoming the Impact Therapeutic Anal Manipulation in the Automated Detection and Differentiation of Anal Squamous Cell Cancer Precursors

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S131-S131

2023

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S6 Artificial Intelligence for Automatic Diagnosis of Mucinous Pancreatic Cystic Lesions in Endoscopic Ultrasound: A Pilot Study

The American journal of gastroenterology, 2021-10, Vol.116 (1), p.S3-S3

2021

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S553 Artificial Intelligence and Anorectal Manometry: Automatic Detection and Differentiation of Anorectal Motility Patterns - A Proof of Concept Study

The American journal of gastroenterology, 2022-10, Vol.117 (10S), p.e391-e391

2022

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Tu2000 DEEP LEARNING AND MINIMALLY INVASIVE ENDOSCOPY – PANENDOSCOPIC DETECTION OF PLEOMORPHIC LESIONS

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-1486-S-1486

2024

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Gastrointestinal endoscopy, 2022-12, Vol.96 (6), p.1093-1094

2022

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DEEP LEARNING AND ENDOSCOPIC ULTRASOUND: AUTOMATIC DETECTION AND CHARACTERIZATION OF CYSTIC AND SOLID PANCREATIC LESIONS – A MULTICENTRIC STUDY

Gastrointestinal endoscopy, 2024-06, Vol.99 (6), p.AB8-AB8

2024

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S979 Artificial Intelligence and Digital Single-operator Cholangioscopy: Automatic Identification of Tumor Vessels in Patients with Indeterminate Biliary Stenosis

The American journal of gastroenterology, 2021-10, Vol.116 (1), p.S468-S468

2021

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S87 Artificial Intelligence for Automatic Diagnosis of Biliary Strictures Malignancy Status in Single-Operator Cholangioscopy: A Proof-of-Concept Study

The American journal of gastroenterology, 2021-10, Vol.116 (1), p.S37-S37

2021

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S18 Deep Learning and Digital Single-Operator Cholangioscopy: Automatic Detection and Classification of Malignant Biliary Masses in Patients With Indeterminate Biliary Strictures

The American journal of gastroenterology, 2021-10, Vol.116 (1), p.S8-S9

2021

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S1341 Development of a Convolutional Neural Network for the Detection of Vascular Lesions in Double-Balloon Enteroscopy: A Proof-of-Concept Study

The American journal of gastroenterology, 2021-10, Vol.116 (1), p.S618-S618

2021

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DEVELOPMENT OF A CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION AND PHENOTYPIC DIFFERENTIATION OF PANCREATIC CYSTIC LESIONS

Gastrointestinal endoscopy, 2022-06, Vol.95 (6), p.AB497-AB498

2022

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Surgery for Obesity and Weight-Related Diseases Changes the Inflammatory Profile in Women with Severe Obesity: a Randomized Controlled Clinical Trial

DEEP LEARNING AND DIGITAL SINGLE-OPERATOR CHOLANGIOSCOPY (DSOC): AUTOMATIC DIAGNOSIS OF MALIGNANCY STATUS AND MORPHOLOGICAL CHARACTERIZATION OF BILIARY STRICTURES

S825 Deep Learning and Capsule Endoscopy: Automatic Panendoscopic Detection of Vascular Lesions

S523 Artificial Intelligence and Capsule Panendoscopy: Development of a Convolutional Neural Network for the Automatic Detection of Pleomorphic Esophageal Lesions

Artificial intelligence for automatic diagnosis of biliary stricture malignancy status in single-operator cholangioscopy: a pilot study

S594 Development and Validation of a Convolutional Neural Network for the Automatic Detection of Multiple Gastric Lesions in Multi-brand Capsule Endoscopy Videos: A Pilot Study

S599 Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Pleomorphic Gastrointestinal Lesions in Device-Assisted Enteroscopy

S25 Deep Learning for the Automatic Identification of Neoplastic Biliary Nodules in Patients With Indeterminate Biliary Stenosis During Digital Cholangioscopy

DEEP LEARNING AND DEVICE-ASSISTED ENTEROSCOPY: AUTOMATIC PANENDOSCOPIC DETECTION OF ULCERS AND EROSIONS

DEEP LEARNING AND CAPSULE ENDOSCOPY: PANENDOSCOPIC CLASSIFICATION OF SMALL BOWEL AND COLON PREPARATION USING A CONVOLUTIONAL NEURAL NETWORK

S699 Deep Learning and Minimally Invasive Endoscopy – Panendoscopic Detection of Pleomorphic Lesions

S61 Deep Learning and Endoscopic Ultrasound: Automatic Characterization of Pancreatic Cystic Lesions—A Bicentric Study

S698 Deep Learning and Device-Assisted Enteroscopy: Multi-Device and Multi-Brand Detection of Pan-Endoscopic Pleomorphic Lesions

S173 Deep Learning and High-Resolution Anoscopy: Assessing the Impact of Staining and Overcoming the Impact Therapeutic Anal Manipulation in the Automated Detection and Differentiation of Anal Squamous Cell Cancer Precursors

S6 Artificial Intelligence for Automatic Diagnosis of Mucinous Pancreatic Cystic Lesions in Endoscopic Ultrasound: A Pilot Study

S553 Artificial Intelligence and Anorectal Manometry: Automatic Detection and Differentiation of Anorectal Motility Patterns - A Proof of Concept Study

Tu2000 DEEP LEARNING AND MINIMALLY INVASIVE ENDOSCOPY – PANENDOSCOPIC DETECTION OF PLEOMORPHIC LESIONS

Response

DEEP LEARNING AND ENDOSCOPIC ULTRASOUND: AUTOMATIC DETECTION AND CHARACTERIZATION OF CYSTIC AND SOLID PANCREATIC LESIONS – A MULTICENTRIC STUDY

S979 Artificial Intelligence and Digital Single-operator Cholangioscopy: Automatic Identification of Tumor Vessels in Patients with Indeterminate Biliary Stenosis

S87 Artificial Intelligence for Automatic Diagnosis of Biliary Strictures Malignancy Status in Single-Operator Cholangioscopy: A Proof-of-Concept Study

S18 Deep Learning and Digital Single-Operator Cholangioscopy: Automatic Detection and Classification of Malignant Biliary Masses in Patients With Indeterminate Biliary Strictures

S1341 Development of a Convolutional Neural Network for the Detection of Vascular Lesions in Double-Balloon Enteroscopy: A Proof-of-Concept Study

DEVELOPMENT OF A CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION AND PHENOTYPIC DIFFERENTIATION OF PANCREATIC CYSTIC LESIONS

Double-blind, Randomized, Placebo-controlled Trial With N-acetylcysteine for Treatment of Severe Acute Respiratory Syndrome Caused by Coronavirus Disease 2019 (COVID-19)

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