MOBIUSI INCThis 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.
Overview
Preview
Schema
| 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. |
Trust
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
FAQ
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@dataset{Mobiusi2026,
title={Pelvic Floor Treatment and Surgery Eligibility Constraint Evaluation Benchmark},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/cfb49b2646cb003c7e241114e63eab25?dataset_scene_cate_type=3},
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}
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