Langhui Tech specializes in healthcare AI data services, building 34 high-quality datasets across five major domains—medical imaging, electronic medical records, physical examination data, medical journals, and pharmaceutical data—backed by 500TB+ of healthcare data and a network of 20,000+ attending-and-above physician experts, providing compliant, professional, and high-quality corpora for healthcare LLM training.
From Med-PaLM 2 to AlphaFold 3, from Multimodular Image AI to Drug Research and Development Revolution, AI is reshaping medical services and life sciences
Google's Med-PaLM 2 healthcare LLM reaches expert physician level, with a pass rate of over 85% on the United States Medical Licensing Examination (USMLE), covering comprehensive clinical knowledge. It performs close to senior physicians on medical Q&A, clinical reasoning, and diagnostic recommendations.
DeepMind's AlphaFold 3 revolutionizes protein structure prediction, covering 200M+ protein structures and shortening the drug target discovery and molecular design cycle by 10x. Nature hailed it as a milestone breakthrough for life sciences.
The Radiological Society of North America (RSNA) 2025 released a multimodal medical imaging AI that achieves four-modality fusion diagnosis across CT/MRI/Pathology/Ultrasound, with 96%+ accuracy in early screening of pulmonary nodules, liver lesions, and breast cancer, surpassing the average level of senior radiologists.
Nature 2026 reports that AI-driven drug discovery has entered the industrialization stage, with end-to-end automation from target identification to lead compound optimization. R&D cycles are shortened by 60% and costs reduced by 80%, with 10+ AI-discovered drugs already in clinical trials.
The New England Journal of Medicine (NEJM) 2025 reports large-scale clinical deployment of AI-assisted diagnostic systems, covering 2000+ disease diagnoses and reducing clinical misdiagnosis rates by 40%. Already implemented in multiple tertiary hospitals, significantly enhancing primary care capabilities.
The Lancet 2025 study shows AI surgical robots have improved precision by 50%, accelerating the adoption of minimally invasive surgery. They now cover complex procedures in cardiac, neuro, orthopedic, and urological surgery, reducing postoperative complications by 35% and accelerating recovery.
Building a medical AI full-link data infrastructure based on credible data
Designed with reference to HIPAA, GDPR, Personal Information Protection Law, and other domestic and international healthcare data regulations. We have established an end-to-end compliance system covering data de-identification, audit traceability, and ethics review to ensure healthcare data is secure and usable.
Partnering with 20,000+ attending-and-above physicians from tertiary hospitals to build an expert review network covering 32 clinical departments, providing expert-level annotation review and quality control, and constructing a moat around healthcare data quality.
Supporting annotation for CT, MRI, pathology slides, ultrasound, X-ray, and other multimodal medical imaging, covering 3D segmentation, lesion annotation, organ identification, tumor staging, and other specialized tasks, with 99.2% annotation accuracy.
Building specialized corpora covering diagnostic standards, clinical pathways, medical knowledge graphs, drug interactions, and more, providing structured, reasoning-ready high-quality training data for clinical decision support AI.
34 high-quality data sets covering the medical AI landscape
CT imaging across head, chest, abdomen, and spine, with specialized annotations including 3D segmentation, lesion marking, and organ identification.
Multimodal MRI imaging of brain, spine, and joints, including T1/T2/DWI/FLAIR sequences with precise tumor and lesion annotations.
High-resolution whole-slide images (WSI) of histopathology, with annotations for tumor grading, immunohistochemistry, and cell segmentation across multiple cancer types.
Ultrasound videos and images across cardiac, abdominal, OB/GYN, and thyroid, with lesion annotations and measurement data.
Chest DR and skeletal X-rays, with annotations for pulmonary nodules, fractures, and cardiopulmonary diseases, supporting early screening AI training.
Structured fields including chief complaint, present illness, past history, diagnosis, medications, lab tests, and examinations, covering 32 departments and 2000+ diseases.
Unstructured clinical texts written by physicians, including progress notes, ward round records, and consultation opinions, with entity recognition and relation annotations.
End-to-end surgical documentation including procedure name, technique, intraoperative findings, and postoperative diagnosis, covering surgical, orthopedic, neurosurgical, and other procedures.
200+ exam indicators including height, weight, blood pressure, blood glucose, lipids, liver and kidney function, tumor markers, with longitudinal follow-up data.
Health risk assessment data based on physical exam data and lifestyle questionnaires, with annotations for chronic disease risk and cardiovascular risk.
Full-text articles from top domestic and international journals including Chinese Medical Journal, NEJM, and Lancet, all licensed, with topic, abstract, and keyword annotations.
Full text of authoritative domestic and international clinical practice guidelines, expert consensus, and clinical pathways, with structured annotation of diseases, medications, procedures, and other entities.
Drug labels for marketed pharmaceuticals domestically and internationally, with structured fields for indications, dosage, adverse reactions, contraindications, and drug interactions.
Knowledge graph of drug-drug, drug-food, and drug-disease interactions, supporting clinical medication safety AI training.
Drug discovery data including molecular structures, targets, activity, and toxicity, supporting AI-driven drug discovery and molecular design.
Credible Data Set + Customized Data Services + Network of Authentication Experts to Build Medical AI Data Closed Rings
500TB+ ready-to-use healthcare datasets in standardized JSON/DICOM formats, fully compliant and licensed—buy and deploy instantly to accelerate healthcare LLM training.
On-demand healthcare data annotation services, supporting multimodal imaging fusion, clinical text annotation, and knowledge graph construction, with expert review for quality control.
An expert review network built with 20,000+ attending-and-above physicians from tertiary hospitals, covering 32 clinical departments, providing expert-level annotation and quality review.
Six typical AI applications based on Langhui medical data sets
Multimodal imaging analysis, symptom recognition, and early screening to improve diagnostic accuracy and efficiency, empowering primary care physicians.
AI-driven target discovery, molecular design, and activity prediction, shortening R&D cycles by 60% and accelerating innovative drug launches.
Intelligent analysis of CT/MRI/Pathology/Ultrasound, with 3D organ segmentation, lesion detection, and tumor staging at 96%+ accuracy.
AI-assisted diagnostic recommendations, medication guidance, and risk alerts, covering 2000+ diseases and reducing misdiagnosis by 40%.
Chronic disease management, health risk assessment, and personalized interventions, delivering precision health management based on physical exam data.
Medical training simulations, clinical case-based teaching, and knowledge transfer, with AI assisting medical education and lifelong learning.
Langhui Tech Medical Data Set to provide high-quality, compliant and professional training data for large medical models