Anatomical Engineering and 3D printing for surgery and medical devices: International review and future exponential innovations

J Cornejo, JA Cornejo-Aguilar, M Vargas… - BioMed research …, 2022 - Wiley Online Library
Three‐dimensional printing (3DP) has recently gained importance in the medical industry,
especially in surgical specialties. It uses different techniques and materials based on …

Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions

S Ali - npj Digital Medicine, 2022 - nature.com
Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …

Identification of Barrett's esophagus in endoscopic images using deep learning

W Pan, X Li, W Wang, L Zhou, J Wu, T Ren, C Liu… - BMC …, 2021 - Springer
Background Development of a deep learning method to identify Barrett's esophagus (BE)
scopes in endoscopic images. Methods 443 endoscopic images from 187 patients of BE …

Global variations in diagnostic guidelines for Barrett's esophagus

C Kusano, R Singh, YY Lee, YSA Soh… - Digestive …, 2022 - Wiley Online Library
Endoscopic diagnosis of gastroesophageal junction and Barrett's esophagus is essential for
surveillance and early detection of esophageal adenocarcinoma and esophagogastric …

Artificial intelligence in the management of barrett's esophagus and early esophageal adenocarcinoma

FL Dumoulin, FD Rodriguez-Monaco, A Ebigbo… - Cancers, 2022 - mdpi.com
Simple Summary Esophageal adenocarcinoma is increasing in incidence and is the most
common subtype of esophageal cancer in Western societies. AI systems are currently under …

[HTML][HTML] Role of artificial intelligence in diagnosing Barrett's esophagus-related neoplasia

M Meinikheim, H Messmann, A Ebigbo - Clin Endosc, 2023 - synapse.koreamed.org
Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough
screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting …

[HTML][HTML] Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer

C Theocharopoulos, S Davakis, DC Ziogas… - …, 2024 - pmc.ncbi.nlm.nih.gov
Simple Summary The implementation of artificial intelligence in healthcare has gained
significant momentum over the last decade, particularly in specialties where image analysis …

Deep Learning in Barrett's Esophagus Diagnosis: Current Status and Future Directions

R Cui, L Wang, L Lin, J Li, R Lu, S Liu, B Liu, Y Gu… - Bioengineering, 2023 - mdpi.com
Barrett's esophagus (BE) represents a pre-malignant condition characterized by abnormal
cellular proliferation in the distal esophagus. A timely and accurate diagnosis of BE is …

Machine learning for future subty** of the tumor microenvironment of gastro-esophageal adenocarcinomas

S Klein, DG Duda - Cancers, 2021 - mdpi.com
Simple Summary We summarize the main components of the tumor microenvironment in
gastro-esophageal adenocarcinomas (GEA). In addition, we highlight past and present …

[HTML][HTML] Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy

PEC Solano, A Bulpitt, V Subramanian, S Ali - Medical Image Analysis, 2025 - Elsevier
Colonoscopy screening is the gold standard procedure for assessing abnormalities in the
colon and rectum, such as ulcers and cancerous polyps. Measuring the abnormal mucosal …