Review of AI Applications in Gastrointestinal Functional Assessment

A 16.1 KB review document authored by Liucheng Li, last updated in March 2026. It synthesizes advances in artificial intelligence for gastrointestinal medicine, covering multimodal imaging, digital biomarkers, and real-time monitoring platforms. The document discusses applications in functional GI disorders, inflammatory bowel disease, and GI oncology.

Use Cases

• Extract methodological themes like multimodal fusion and temporal modeling for literature reviews on AI in gastroenterology.
• Identify discussed digital biomarkers for benchmarking against new physiological sensing data in research.
• Analyze the review's coverage of barriers to translation, such as standardization and dataset shift, for planning clinical AI studies.

Strengths

• Document is under a permissive CC BY 4.0 license, allowing broad reuse and adaptation.
• Content is recent, with a last update timestamp of March 2026.
• Covers a defined scope of three connected assessment pillars: imaging, biomarkers, and monitoring.

Limitations

• The file is a 16.1 KB review document, not a primary dataset, containing no structured data rows or columns for analysis.
• As a synthesis article, it does not contain original patient data, imaging files, or time-series records for model training.
• Scope is limited to a textual summary of applications and methods without providing the underlying datasets referenced.

Provenance

Source

figshare

Collection Method

Authored review article.

Freshness

Last updated on 2026-03-25.