ArticleGastrointestinal endoscopy2016
A tablet-interfaced high-resolution microendoscope with automated image interpretation for real-time evaluation of esophageal squamous cell neoplasia.
Article in Gastrointestinal endoscopy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The role of artificial intelligence in the endoscopic diagnosis of esophageal cancer: a systematic review and meta-analysis.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2023Pooled it
- Cervical lesion assessment using real-time microendoscopy image analysis in Brazil: The CLARA study.International journal of cancer · 2021Trial
- Trial
- Diagnosing Cervical Neoplasia in Rural Brazil Using a Mobile Van Equipped withCancer prevention research (Philadelphia, Pa.) · 2018Trial
- AI in esophageal cancer: advances, barriers to clinical translation, and perspectives for digital health.Journal of translational medicine · 2026Review
- Artificial Intelligence in Gastrointestinal Endoscopy and Hemostatic Decision-Making: Current Evidence, Clinical Implications and Implementation Barriers.Life (Basel, Switzerland) · 2026Review
- Deep-learning endomicroscope with large field-of-view and depth-of-field for real-time in vivo imaging of epithelial cancer hallmarks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Artificial Intelligence in Upper Gastrointestinal Endoscopy: Current Evidence, Practice, and Future Directions.Cureus · 2025Review
- Optical imaging for screening and early cancer diagnosis in low-resource settings.Nature reviews bioengineering · 2024Article
- Mildly dysplastic oral lesions with optically-detectable abnormalities share genetic similarities with severely dysplastic lesions.Oral oncology · 2022Article
- The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review.Journal of medical Internet research · 2022Article
- Cervical Imaging in the Low Resource Setting: A Review.Biosensors · 2022Review
- Artificial Intelligence in Endoscopy.Digestive diseases and sciences · 2022Review
- Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2022Article
- Review
- Advances in optical gastrointestinal endoscopy: a technical review.Molecular oncology · 2021Review
- Cervical cancer prevention in El Salvador: A prospective evaluation of screening and triage strategies incorporating high-resolution microendoscopy to detect cervical precancer.International journal of cancer · 2021Article
- High frame rate video mosaicking microendoscope to image large regions of intact tissue with subcellular resolution.Biomedical optics express · 2021Article
- Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?World journal of gastroenterology · 2021Review
- Automated software-assisted diagnosis of esophageal squamous cell neoplasia using high-resolution microendoscopy.Gastrointestinal endoscopy · 2021Article
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11 authors.
Funding
Abstract
BACKGROUND AND
aimsIn recent years high-resolution microendoscopy (HRME) has shown potential to improve screening for esophageal squamous cell neoplasia. Furthering its utility in a clinical setting, especially in lower-resource settings, could be accomplished by reducing the size and cost of the system as well as incorporating the ability of real-time, objective feedback. This article describes a tablet-interfaced HRME with fully automated, real-time image analysis.
methodsThe performance of the tablet-interfaced HRME was assessed by acquiring images from the oral mucosa in a normal volunteer. An automated, real-time analysis algorithm was developed and evaluated using training, test, and validation images from a previous in vivo study of 177 patients referred for screening or surveillance endoscopy in China. The algorithm was then implemented in a tablet HRME that was used to obtain and analyze images from esophageal tissue in 3 patients. Images were displayed alongside the probability that the imaged region was neoplastic.
resultsThe tablet-interfaced HRME demonstrated comparable imaging performance at a lower cost compared with first-generation laptop-interfaced HRME systems. In a post-hoc quantitative analysis, the algorithm identified neoplasia with a sensitivity and specificity of 95% and 91%, respectively, in the validation set compared with 84% and 95% achieved in the original study.
conclusionsThe tablet-based HRME is a low-cost tool that provides quantitative diagnostic information to the endoscopist in real time. This could be especially beneficial in lower-resource settings for operators with less experience interpreting HRME images.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.