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Artificial intelligence and inflammatory bowel disease: Where are we going?
Leonardo Da Rio1,2, Marco Spadaccini2,3, Tommaso Lorenzo Parigi2,4
1Department of Endoscopy, Humanitas Research Hospital, IRCCS, Rozzano 20089, Milano, Italy.
Insights
Artificial intelligence (AI) is revolutionizing inflammatory bowel disease (IBD) management. This review highlights AI
Area of Science:
- Gastroenterology and Medical Informatics
- Application of Artificial Intelligence in Healthcare
Background:
- Inflammatory bowel diseases (IBD), including ulcerative colitis and Crohn's disease, are chronic, relapsing conditions with complex etiologies.
- Managing IBD presents clinical and resource optimization challenges.
- Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are increasingly vital in medical specialties, including gastroenterology.
Purpose of the Study:
- To review recent evidence on AI applications in inflammatory bowel diseases (IBD).
- To explore AI's role in various IBD contexts: diagnosis, follow-up, treatment, prognosis, cancer surveillance, and data analysis.
- To discuss future AI developments and their impact on clinical practice.
Main Methods:
- Comprehensive literature review of recent studies on artificial intelligence in IBD.
- Analysis of AI applications across diverse clinical and research areas within IBD.
- Discussion of emerging trends and future potential of AI in gastroenterology.
Main Results:
- Artificial intelligence demonstrates significant potential in enhancing diagnosis, prognosis, and surveillance for IBD.
- AI tools are increasingly used for data analysis and management in IBD research.
- Endoscopy and imaging are key areas where AI is making substantial contributions to IBD care.
Conclusions:
- AI is poised to significantly transform the management of inflammatory bowel diseases.
- Further development and integration of AI in clinical practice are expected to improve patient outcomes and healthcare efficiency.
- AI offers promising avenues for addressing the complexities of IBD diagnosis, treatment, and long-term surveillance.
Abstract:
Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and relapsing conditions that pose a growing burden on healthcare systems worldwide. Because of their complex and partly unknown etiology and pathogenesis, the management of ulcerative colitis and Crohn's disease can prove challenging not only from a clinical point of view but also for resource optimization. Artificial intelligence, an umbrella term that encompasses any cognitive function developed by machines for learning or problem solving, and its subsets machine learning and deep learning are becoming ever more essential tools with a plethora of applications in most medical specialties. In this regard gastroenterology is no exception, and due to the importance of endoscopy and imaging numerous clinical studies have been gradually highlighting the relevant role that artificial intelligence has in inflammatory bowel diseases as well. The aim of this review was to summarize the most recent evidence on the use of artificial intelligence in inflammatory bowel diseases in various contexts such as diagnosis, follow-up, treatment, prognosis, cancer surveillance, data collection, and analysis. Moreover, insights into the potential further developments in this field and their effects on future clinical practice were discussed.
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