APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN RISK PREDICTION FOR GASTROINTESTINAL BLEEDING: A scoping review

This scoping review aims to investigate the available evidence on the use of artificial intelligence (AI) in predicting the risk of gastrointestinal bleeding (GIB) in healthy individuals. The guiding question of this study was structured according to the PCC mnemonic: Population: healthy individuals; Concept of interest: use of AI for risk prediction; Research context: prediction of risk of gastrointestinal bleeding. Based on this structure, the research question developed was: “What are the applications of artificial intelligence for predicting risk of gastrointestinal bleeding?”. Five specific questions were also developed to guide the extraction and analysis of data. The literature search will be conducted across the following electronic platforms: PubMed, ACM and IEEE. The studies resulting from the searches will be exported to the Rayyan software and selected in two phases based on previously established criteria. Stage I will consist of screening the articles based on their title and abstract, and Stage II will be carried out by reading the articles selected in Stage I in full. A qualitative synthesis will be provided based on the data selected in the studies. The extracted data will also be summarized in a descriptive table, containing concise answers to all the specific questions.