Evaluate structured verification of head and neck surgical plans against key clinical and safety constraints.

This dataset provides high-quality image data for electric wheelchair status classification, aiding the development of intelligent monitoring technology.

The Dental Treatment Process Action Recognition Dataset is used to improve the accuracy and efficiency of dental treatment action recognition.

This dataset focuses on hand keypoint detection in handheld thermometer scenarios, providing data support for smart healthcare.

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

The Drug Injection Dataset is a high-quality dataset created for medical image analysis and object detection tasks.

Evaluate whether models can handle psychiatric medication risks in psychotherapy dialogues without overstepping prescribing boundaries and can recommend appropriate professional support.

This dataset provides high-quality consumable operation image data for the medical field, supporting object detection tasks.

This is an image dataset specifically designed for mercury glass thermometer object detection, aimed at improving the accuracy and efficiency of medical image analysis.

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

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

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

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

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

This dataset aims to improve the monitoring efficiency of infusion remaining volume through visual regression techniques.

Train models to determine whether health and wellness advertising claims are genuinely supported by their cited evidence, including cases of weak support and overgeneralization.

This dataset focuses on the monitoring of real-time emergency equipment, supporting object detection tasks to enhance the efficiency of medical equipment management.

This dataset focuses on the detection of tipping and abnormal states of infusion stands, suitable for object detection tasks in the medical field.

This dataset focuses on image classification of the correctness of wearing sleep monitoring devices, aiding medical research and applications.

This dataset is an effective tool for enhancing the analysis of physical activity behaviors and rehabilitation outcomes in the medical and health field.