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. 2025 Feb 18;14(4):1360.
doi: 10.3390/jcm14041360.

Artificial Intelligence as a Tool in Diagnosing Inflammatory Bowel Disease in Older Adults

Affiliations

Artificial Intelligence as a Tool in Diagnosing Inflammatory Bowel Disease in Older Adults

Ana-Gabriela Prada et al. J Clin Med. .

Abstract

Background/Objectives: The primary objective of our study was to find a potential use for images generated by imagistic investigations by comparing the appearance of a healthy digestive tract to that of a pathological one. Methods: We conducted a cross-sectional observational study involving 60 older adult patients admitted to and followed up at a primary center in Romania. Our focus was on different diagnostic methods and the use of artificial intelligence (AI) tools integrated into the electronic health records system. Results: Currently, imagery, laboratory values and electronic health records (EHR) can also be used to train AI models. Comparative imagery to predict the appearance of inflammatory bowel disease (IBD) can be used as a predictor model. Conclusions: Our findings indicate with certainty that training a tool in the diagnosis and prevention of relapses in older adults with IBD is promising for further integrating these models into patient care.

Keywords: artificial intelligence; diagnostic methods; inflammatory bowel disease; older adults.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Sorting algorithm for patient database.
Figure 2
Figure 2
Distribution by IBD type of most commonly used diagnosis methods in older adults.
Figure 3
Figure 3
Distribution by IBD type and diagnosis methods in older adult patients.
Figure 4
Figure 4
Distribution of artificial intelligence use in diagnosing IBD in older adults.
Figure 5
Figure 5
Distribution by age group and diagnosis method used for older adult patients with IBD.
Figure 6
Figure 6
Distribution by gender and age at diagnosis of older adult patients with IBD.

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