This study aims to validate and evaluate AI algorithms for detection and characterization of early GI neoplasia.

This is an investigator initiated; multi-centre study and will be conducted in two phases. Validation & Optimization phase, where routinely collected and anonymized endoscopic images and videos from the departmental teaching and training library will be used to validate, and if needed fine-tune and improve, the accuracy of an AI algorithm. Testing phase, where the evaluation of AI algorithms performance will be conducted on a prospective basis. The ground truth (standard) will be expert assessment and histological diagnosis.

This study has no direct impact on patient's clinical care, and collection of all endoscopic data will take place during standard endoscopy procedures done for purely clinical indications. No additional procedures, biopsies or interventions will be performed as a part of this study.

Inclusion Criteria:

-The participant must meet ALL of the following criteria to be considered eligible for the study:

• Male or Female, aged 18 years or above.
• Requiring gastroscopy and/or colonoscopy to investigate gastrointestinal symptoms, or as part of screening or ongoing surveillance of GI neoplasia.
• Participant is willing and able to give informed consent for participation in the study.

Exclusion Criteria

The participant may not enter the study if ANY of the following apply:

• Patients with endoscopically active severe oesophagitis
• Poor bowel preparation

In phase (1), all previously collected, anonymized and stored endoscopic images and videos of early GI neoplasia in the departmental endoscopy teaching and training library. In phase (2), all eligible patients coming for upper and/or lower GI endoscopy for clinical reasons in participating centres will be approached for enrolment into this study.