How to evaluate deep learning for cancer diagnostics–factors and recommendations

R Daneshjou, B He, D Ouyang, JY Zou - Biochimica et Biophysica Acta …, 2021 - Elsevier
The large volume of data used in cancer diagnosis presents a unique opportunity for deep
learning algorithms, which improve in predictive performance with increasing data. When …

A primer on artificial intelligence and its application to endoscopy

D Chahal, MF Byrne - Gastrointestinal endoscopy, 2020 - Elsevier
Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to
impact many aspects of health care. In endoscopy, AI is now being used to detect and …

Pediatric endoscopy quality improvement network pediatric endoscopy reporting elements: a joint NASPGHAN/ESPGHAN guideline

CM Walsh, JR Lightdale, DS Fishman… - Journal of pediatric …, 2022 - journals.lww.com
Methods: With support from the North American and European Societies of Pediatric
Gastroenterology, Hepatology and Nutrition (NASPGHAN and ESPGHAN), an international …

Artificial Intelligence in endoscopy: A future poll

O Elshaarawy, M Alboraie, M El-Kassas - Arab Journal of Gastroenterology, 2024 - Elsevier
Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed
medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted …

[HTML][HTML] Techniques to integrate artificial intelligence systems with medical information in gastroenterology

HY Jin, M Zhang, B Hu - Artificial Intelligence in Gastrointestinal …, 2020 - wjgnet.com
Gastrointestinal (GI) endoscopy is the central element in contemporary gastroenterology as
it provides direct evidence to guide targeted therapy. To increase the accuracy of GI …

The role of computer-assisted systems for upper-endoscopy quality monitoring and assessment of gastric lesions

DC Lazăr, MF Avram, AC Faur… - Gastroenterology …, 2021 - academic.oup.com
This article analyses the literature regarding the value of computer-assisted systems in
esogastroduodenoscopy-quality monitoring and the assessment of gastric lesions. Current …

Pediatric Endoscopy Quality Improvement Network (PEnQuIN) Pediatric Endoscopy Reporting Elements: A Joint NASPGHAN/ESPGHAN Guideline.

JR Lightdale, CM Walsh, DS Fishman… - J Pediatr …, 2021 - qmro.qmul.ac.uk
INTRODUCTION: High quality procedure reports are a cornerstone of high quality pediatric
endoscopy as they ensure the clear communication of procedural events and outcomes …

[HTML][HTML] Application of convolutional neural networks for computer-aided detection and diagnosis in gastrointestinal pathology: A simplified exposition for an …

YKS Viswanath, S Vaze, R Bird - Artificial Intelligence in Gastrointestinal …, 2020 - wjgnet.com
The application of artificial intelligence (AI), especially machine learning or deep learning
(DL), is advancing at a rapid pace. The need for increased accuracy at endoscopic …

[PDF][PDF] BBA-Reviews on Cancer

R Daneshjou, B He, D Ouyang, JY Zou - 45.79.84.131
The large volume of data used in cancer diagnosis presents a unique opportunity for deep
learning algorithms, which improve in predictive performance with increasing data. When …