Evaluate a model's ability to validate specialty intake rules using structured referrals that include both compliant and problematic cases.

The key information extraction dataset for doctor-patient conversations is used to enhance the information extraction capability of medical dialogue systems.

Evaluate how well models verify evidence against pediatric ADHD criteria, one diagnostic constraint at a time.

The Waiting Room Prompt Speech Recognition Audio Dataset aims to improve speech recognition efficiency in healthcare settings.

The CT Imaging Lung Nodule Detection Dataset focuses on improving the accuracy of lung nodule detection in the healthcare sector.

Test whether models can verify pediatric vaccination plans against age requirements, dose intervals, and contraindications using structured cases and adjudicated results.

A time series dataset covering the overall situation of influenza cases in the United States from 2002 to 2021.

The Pharmacy Prescription Text Extraction Dataset focuses on extracting and recognizing text data from medical prescription images.

Evaluate whether models can accurately verify pediatric immunization schedules against explicit timing and eligibility constraints using structured cases and detailed labels.

Test whether models can rigorously verify evidence, contradictions, and information gaps against childhood autism diagnostic criteria.

The Medical Teaching Image Dataset is a high-quality image resource to assist medical teaching.

The Dental Clinic X-ray Image Caries Segmentation Dataset is fundamental data for improving caries detection accuracy.

Evaluate schedule-checking capabilities with adolescent cases paired with versioned vaccination constraints and reference outcomes.

Evaluate how well models detect omissions and constraint conflicts in proposed dispositions using case risk information and triage rules.

The Accompanied Communication Voice Dialogue Dataset is specifically designed for TTS training to enhance the model's ability to generate speech for everyday communication.

The operating room instrument recognition dataset is used to improve the efficiency of instrument automatic identification and management in a medical environment.

A high-quality dataset to enhance the accuracy of drug image recognition in intelligent pharmacy systems.

Evaluate whether models can detect clinical constraint conflicts in medication initiation plans for opioid use disorder and explain their judgments.

Evaluate whether models can verify pediatric inpatient medication orders against explicit rules and identify violations or missing information.

Evaluate whether conversational models respect clinical boundaries, avoid unauthorized diagnoses, and recommend professional support when appropriate.