This dataset focuses on hand key point detection for handheld mercury thermometers, aimed at improving the accuracy of medical image analysis.

Evaluate whether domain models can verify medication order constraints and locate violations in pediatric rheumatology cases.

This dataset is used to analyze the correctness of thermometer usage to enhance accuracy in medical monitoring.

This dataset focuses on small object detection in liquid level, providing high-quality image data support for the medical field.

This dataset focuses on posture classification for wheelchair operators to support advancements in assistive medical technologies.

Analyze brain exposure of CNS small molecules through evidence-grounded questions covering candidate comparisons, limiting factors, and evidence provenance.

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

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

Evaluate a model's ability to detect conflicts in structured rhinology cases with reference consistency labels and contradiction annotations.

Evaluate primary care prescription review against key constraints involving allergies, concomitant medications, dosage, and renal function.

Test whether models can verify decision-specific capacity assessments against the evidence and identify important gaps and conflicts.

Evaluate whether models can detect sequencing, dependency, and prerequisite issues in dental treatment plans.

Evaluate how well models detect inconsistencies in pediatric dental sedation plans using structured cases and explicit safety constraints.

This dataset focuses on the monitoring of real-time injection therapy processes, aiming to improve medical management and safety.

Evaluate whether models identify and follow safety escalation requirements in virtual care using structured cases and rule-based evidence.

This dataset is designed to improve the accuracy and efficiency of OCR recognition for ambulance body information.

This dataset provides diversified infusion scene images to support medical image analysis and deep learning research.

This dataset focuses on recognizing the usage posture of mercury thermometers, providing important data support for medical health monitoring.

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

Evaluate how reliably models verify hemodynamic constraints in cardiac anesthesia using structured cases, candidate plans, and expert annotations.