# Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-to-revolutionize-ibd-clinical-trials-a-comprehensive/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rocío Sedaño,Virginia Solitano,Sudheer K. Vuyyuru,Yuhong Yuan,Jurij Hanžel,Christopher Ma,Olga Maria Nardone,Vipul Jairath |
| Citations | 47 |
| DOI | 10.1177/17562848251321915 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1177/17562848251321915 |
| OpenAlex ID | https://openalex.org/W4407895536 |
| PMID | 39996136 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Sudheer K. Vuyyuru](https://scholariq.org/researchers/sudheer-k-vuyyuru/)

## Paper journal

- [Therapeutic Advances in Gastroenterology](https://scholariq.org/journals/therapeutic-advances-in-gastroenterology/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.