Review Article
Gastroenterology Meets Machine Learning: Status Quo and Quo Vadis
| Research question | Objective |
| RQ1: What are the main machine learning techniques that have been applied on gastroenterology? | Identifying techniques currently in use and studying their characteristics and outcomes in terms of learning class, sources of data, and performance. |
| RQ2: Which sub-fields of gastroenterology has machine learning been applied to? | Identifying where ML is making changes and hence identifying the potentially fruitful GE application domains that are still unexplored. |
| RQ3: How ML will impact gastroenterology practice? | Drawing conclusions about the current research efforts and the main research directions |
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