Artificial Intellingence and gene identification offer promising potential to aid diagnoses of upper gastrointestinal conditions like Barrett's Oesophagus and possibly to predict the likelihood of developing oesophageal cancer.
This page is under development to feature this is exciting on-going work.
In the interim, it may temporarily act as a reference to useful research papers that will be further utilised later.
Designing a Computer-Aided Detection system for Barrett's Neoplasia "This study provides critical insights into the structured development of effective CADe systems for Barrett's neoplasia detection. By addressing the specific challenges associated with endoscopic imaging and Barrett's neoplasia, the study demonstrates that careful consideration of architectural choices, training strategies, and inference approaches results in significantly improved CADe performance."
The Potential of ChatGTP4.0 as an AI assistant in the education of Barrett's Patients. "ChatGPT has been shown to accurately answer patient-centered questions in topics such as colonoscopies, cirrhosis, hepatocellular carcinoma, pancreatic cancer, and GERD, while other topics such as eosinophilic esophagitis, inflammatory bowel disease, and colorectal cancer screening highlight some of ChatGPT’s limitations."
Precision Care in Screening, Surveillance and Overall Management of Barrett's Esophagus. "This review explores the current landscape and emerging trends in precision medicine for Barrett’s esophagus, highlighting genomic markers, digital pathology, and AI-driven models as tools to transform how we approach this complex disease and prevent progression to EAC."
Artificial Intelligence in Upper Gastrointestinal Diagnosis "By providing real-time decision-making support, AI minimizes unnecessary biopsies and improves patient outcomes. We also explore the applications of AI in detecting precancerous conditions such as Barrett’s esophagus, atrophic gastritis, and gastric intestinal metaplasia, as well as its role in guiding therapy for early gastric cancer."
AI Risk Prediction Tool (TSP-9) Informs Risk Aligned Care for Patients with Barrett's Esophagus "The three real-world cases outlined herein demonstrate how valuable, adjunctive information provided by an AI-driven prognostic test such as TSP-9 [known as "Tissue Cypher"] can improve clinical management of patients with BE by informing physician–patient discussions and supporting risk-aligned care. The use of AI-driven tools such as TSP-9 is transforming how gastroenterologists and pathologists provide risk-aligned care to their patients." [Paper Authored by a consultant for the manufacturer.]
Role of Artificial Intelligence in the detection and characterization of gastrointestinal of premalignant and early malignant lesions "Precancerous lesions and early cancers of the esophagus and stomach are often subtle, flat, multifocal and easily missed. By improving tumor detection rate, AI effectively enhances the diagnostic yield in upper GI cancer screening."
Page updated 10 January 2026