Pelvic Floor Treatment and Surgery Eligibility Constraint Evaluation Benchmark
#treatment eligibility evaluation #clinical constraint reasoning #rule-based decision verification #pelvic floor disorder treatment #surgical eligibility assessment #clinical decision support
- 8000
- 0.5GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-25
AI Analysis & Value Prop
This JSON benchmark records patient conditions, required assessment information, and proposed management for pelvic floor treatments or procedures, alongside rule-based checks of applicability, prerequisites, and exclusions. It focuses on constraint verification in urogynecology and pelvic medicine, helping evaluate whether a model can assess multiple conditions and explain its reasoning rather than match a single label. No sample count is provided; the exact coverage depends on the delivered data.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| case_input | object | Structured source case information used to evaluate a proposed treatment or procedure against applicable constraints. |
| eligibility_assessment | object | Rule-based results derived from the source case, covering applicability, prerequisite checks, exclusion checks, and supporting explanations. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What does the benchmark contain?
- It contains structured cases with patient conditions, required assessment information, and proposed management. Each assessment records applicability, prerequisite checks, exclusion checks, and supporting explanations.
- Which model capabilities can it evaluate?
- It can evaluate whether a model applies explicit rules to assess treatment or procedure eligibility, verify prerequisites, and identify exclusions. It is suited to constraint verification and domain evaluation in urogynecology and pelvic medicine.
- What is the dataset size, and how can it be obtained?
- The available information does not specify the sample count or delivery method. Refer to the product listing or provider for current specifications, sample records, and delivery details.
- Can the data be used directly for clinical care?
- This is an evaluation benchmark, not a substitute for clinical guidelines, professional judgment, or individualized care. Qualified professionals should review its suitability before any practical use, and applicable medical data and privacy requirements must be followed.
- What licensing details should users check?
- Before obtaining the data, review the provider's license terms for permitted use cases, redistribution restrictions, commercial-use rights, and data compliance requirements. The formal license governs the actual usage rights.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Pelvic Floor Treatment and Surgery Eligibility Constraint Evaluation Benchmark},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/cfb49b2646cb003c7e241114e63eab25},
urldate={2026-10-21},
keywords={pelvic floor treatment benchmark,pelvic surgery eligibility,urogynecology dataset,constraint verification dataset,medical AI evaluation,preoperative criteria checking,treatment exclusion rules,JSON clinical cases},
version={1.0}
}Using this in research? Please cite us.
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