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

Follow the full path from identifying a flaw in an acute migraine treatment plan to agent self-correction, and train more reliable medical agents.

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

Evaluate whether models can detect diagnostic terminology violations using oral pathology hierarchies and controlled-term rules.

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

Electric wheelchair object detection image dataset, boosting the development of assistive medical technology.

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

This dataset is used for OCR recognition of mercury thermometer scale numbers, supporting object detection tasks.

The Emergency Room Injury Classification Documentation Dataset aims to enhance the capability of text data processing in the healthcare field.

This dataset provides high-quality image data for estimating body temperature values, aiding in medical image analysis.

Evaluate whether models can verify pediatric dental trauma plans against case-specific constraints and identify safety risks.

Evaluate whether models can identify red flags and determine if a proposed disposition matches patient risk using structured triage records and safety annotations.

This dataset provides high-quality images of infusion pumps to support object detection tasks.

The Basic Medical Items Image Dataset aims to improve the efficiency of medical items recognition and management.

This dataset provides high-quality images of sleep monitoring devices to aid in medical device classification research.

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

Train evidence-based structure–activity reasoning through CNS small-molecule analogue comparisons and experimental property tradeoffs.

This dataset is dedicated to improving the recognition capabilities of ambulances in complex road scenes.

Use context-rich counseling excerpts and intent annotations to help models understand patients' needs and expressions during health behavior change.

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