A PRISMA-guided review searches four databases and groups AI for urodynamics into parameter-, raw-signal- and image-based approaches. Small datasets, bias and limited external validation prevent a conclusion that these tools are deployment-ready.
Key findings
- A PRISMA-guided review searches four databases and groups AI for urodynamics into parameter-, raw-signal- and image-based approaches. Small datasets, bias and limited external validation prevent a conclusion that these tools are deployment-ready.
Why this matters globally
This work adds internationally comparable evidence in Health sciences and defines questions for replication in other populations or systems. Its global value lies in the evidence and transferable reasoning, not in a single impact score.
Thai researcher contribution
Thailand-linked authors and Ramathibodi Hospital, Mahidol University contribute to the research network behind this work. Thai participation is identified from bibliographic affiliations and should be checked against the author list and source article.
Limitations to consider
Conclusions inherit the quality, definitions and completeness of included studies; heterogeneity and publication bias can distort pooled impressions.