Table 1_Artificial intelligence-driven gastrointestinal functional assessment: multimodal imaging, digital biomarkers, and real-time monitoring.docx

A 15.3 KB DOCX file authored by Liucheng Li, summarizing a review on artificial intelligence applications in gastrointestinal functional assessment. The document synthesizes advances in multimodal imaging, digital biomarkers, and real-time monitoring for GI disorders. It was last updated on March 25, 2026.

Use Cases

• Extract methodological themes like multimodal fusion and temporal modeling for literature reviews on AI in medicine.
• Identify applications in functional GI disorders, inflammatory bowel disease, and GI oncology for research scoping.
• Reference barriers to translation such as standardization and external validation for academic writing.

Strengths

• The document is licensed under CC BY 4.0, allowing for open sharing and adaptation.
• It covers three specific assessment pillars: multimodal imaging, digital biomarkers, and real-time monitoring.
• The file is recent, with a last update date of March 25, 2026.

Limitations

• The file is a 15.3 KB DOCX document, indicating it is a text summary, not a primary dataset for analysis.
• No tabular data, rows, columns, or sample data are available for computational use.
• The content is a synthesized review, not raw experimental or patient data.

Provenance

Source

figshare, authored by Liucheng Li.

Collection Method

Synthesized review article.

Freshness

Last updated on 2026-03-25.