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Effectiveness and tolerability of linaclotide in the treatment of IBS‐C in a “real‐life” setting: Results from a Portuguese single‐center study

Neurogastroenterology and motility, 2019-02, Vol.31 (2), p.e13508-n/a

2019

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Identification of Ulcers and Erosions by the Novel Pillcam™ Crohn’s Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study

Journal of Crohn's and colitis, 2022-01, Vol.16 (1), p.169-172

2022

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Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network

BMJ open gastroenterology, 2021-09, Vol.8 (1), p.e000753

2021

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Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy

Medicina (Kaunas, Lithuania), 2023-04, Vol.59 (4), p.810

2023

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The Use of a PEG/Ascorbate Booster Following Standard Bowel Preparation Improves Visualization for Capsule Endoscopy in a Randomized, Controlled Study

The Turkish Journal of Gastroenterology, 2021-05, Vol.32 (5), p.437-442

2021

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AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach

Diagnostics (Basel), 2023-11, Vol.13 (23), p.3494

2023

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A case-control study demonstrates an improved visualization when capsule endoscopy is performed after preparation with polyethylene glycol and ascorbic acid

Revista española de enfermedades digestivas, 2021-04, Vol.113 (4), p.261-268

2021

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Automated detection of ulcers and erosions in capsule endoscopy images using a convolutional neural network

Medical & biological engineering & computing, 2022-03, Vol.60 (3), p.719-725

2022

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Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology

Journal of clinical medicine, 2024-02, Vol.13 (4), p.1061

2024

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Deep learning and minimally invasive inflammatory activity assessment: a proof-of-concept study for development and score correlation of a panendoscopy convolutional network

Therapeutic advances in gastroenterology, 2024-01, Vol.17, p.17562848241251569-17562848241251569

2024

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Artificial Intelligence and Panendoscopy-Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted Enteroscopy

Cancers, 2024-01, Vol.16 (1), p.208

2024

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Infectious Proctitis in Ulcerative Colitis: The Importance of an Accurate Differential Diagnosis

GE Portuguese journal of gastroenterology, 2021-09, Vol.28 (5), p.354-359

2021

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Complications, limitations, and failures of capsule endoscopy: a review of 733 cases

Gastrointestinal endoscopy, 2005-11, Vol.62 (5), p.712-716

2005

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Predicting Factors of Clinical Outcomes in Patients Hospitalized after Esophageal Foreign Body or Caustic Injuries: The Experience of a Tertiary Center

Diagnostics (Basel), 2023-10, Vol.13 (21), p.3304

2023

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Vedolizumab-Induced Liver Injury

GE Portuguese journal of gastroenterology, 2021-11, Vol.28 (6), p.410-415

2021

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A Gastric Lesion Revealing a Small-Cell Lung Cancer: A Rare Case

GE Portuguese journal of gastroenterology, 2022-05, Vol.29 (3), p.220-222

2022

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Deep Learning and Minimally Invasive Endoscopy: Panendoscopic Detection of Pleomorphic Lesions

GE Portuguese journal of gastroenterology, 2024-08, p.1-11

2024

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Small Bowel Adenocarcinoma in a Patient with Crohn’s Disease: The Role of Balloon-Assisted Enteroscopy

GE Portuguese journal of gastroenterology, 2023-03, Vol.30 (2), p.141-146

2023

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Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network

GE Portuguese journal of gastroenterology, 2022-09, Vol.29 (5), p.331-338

2022

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Artificial intelligence and capsule endoscopy: automatic detection of enteric protruding lesions using a convolutional neural network

Revista española de enfermedades digestivas, 2023-02, Vol.115 (2), p.75-79

2023

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Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Gastrointestinal Angioectasia

Medicina (Kaunas, Lithuania), 2021-12, Vol.57 (12), p.1378

2021

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Deep learning and colon capsule endoscopy: automatic detection of blood and colonic mucosal lesions using a convolutional neural network

Endoscopy International Open, 2022-02, Vol.10 (2), p.E171-E177

2022

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Artificial intelligence and colon capsule endoscopy: automatic detection of blood in colon capsule endoscopy using a convolutional neural network

Endoscopy International Open, 2021-08, Vol.9 (8), p.E1264-E1268

2021

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Development of a Convolutional Neural Network for Detection of Erosions and Ulcers With Distinct Bleeding Potential in Capsule Endoscopy

Techniques and innovations in gastrointestinal endoscopy, 2021, Vol.23 (4), p.291-296

2021

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Small Bowel Enteroscopy – A Joint Clinical Guideline from the Spanish and Portuguese Small Bowel Study Groups

GE Portuguese journal of gastroenterology, 2020-08, Vol.27 (5), p.324-335

2020

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Effectiveness and tolerability of linaclotide in the treatment of IBS‐C in a “real‐life” setting: Results from a Portuguese single‐center study

Identification of Ulcers and Erosions by the Novel Pillcam™ Crohn’s Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study

Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network

Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy

The Use of a PEG/Ascorbate Booster Following Standard Bowel Preparation Improves Visualization for Capsule Endoscopy in a Randomized, Controlled Study

AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach

A case-control study demonstrates an improved visualization when capsule endoscopy is performed after preparation with polyethylene glycol and ascorbic acid

Automated detection of ulcers and erosions in capsule endoscopy images using a convolutional neural network

Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology

Deep learning and minimally invasive inflammatory activity assessment: a proof-of-concept study for development and score correlation of a panendoscopy convolutional network

Artificial Intelligence and Panendoscopy-Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted Enteroscopy

Infectious Proctitis in Ulcerative Colitis: The Importance of an Accurate Differential Diagnosis

Complications, limitations, and failures of capsule endoscopy: a review of 733 cases

Predicting Factors of Clinical Outcomes in Patients Hospitalized after Esophageal Foreign Body or Caustic Injuries: The Experience of a Tertiary Center

Vedolizumab-Induced Liver Injury

A Gastric Lesion Revealing a Small-Cell Lung Cancer: A Rare Case

Deep Learning and Minimally Invasive Endoscopy: Panendoscopic Detection of Pleomorphic Lesions

Small Bowel Adenocarcinoma in a Patient with Crohn’s Disease: The Role of Balloon-Assisted Enteroscopy

Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network

Artificial intelligence and capsule endoscopy: automatic detection of enteric protruding lesions using a convolutional neural network

Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Gastrointestinal Angioectasia

Deep learning and colon capsule endoscopy: automatic detection of blood and colonic mucosal lesions using a convolutional neural network

Artificial intelligence and colon capsule endoscopy: automatic detection of blood in colon capsule endoscopy using a convolutional neural network

Development of a Convolutional Neural Network for Detection of Erosions and Ulcers With Distinct Bleeding Potential in Capsule Endoscopy

Small Bowel Enteroscopy – A Joint Clinical Guideline from the Spanish and Portuguese Small Bowel Study Groups

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