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Deep learning and minimally invasive inflammatory activity assessment: a proof-of-concept study for development and score correlation of a panendoscopy convolutional network.

Pedro CardosoMiguel Mascarenhas SaraivaJoão AfonsoTiago RibeiroFrancisco MendesMiguel MartinsPatrícia AndradeHélder CardosoMiguel Mascarenhas SaraivaJoão P S FerreiraGuilherme Macedo
Published in: Therapeutic advances in gastroenterology (2024)
Our study showed that the AI-generated score had a strong correlation with validated scores indicating that it could serve as an objective and efficient method for evaluating inflammation in CD patients. As a preliminary study, our findings provide a promising basis for future refining of a CE score that may accurately correlate with prognostic factors and aid in the management and treatment of CD patients.
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