Healthcare
Our HIPAA-compliant annotation services for medical imaging, clinical notes, and genomic data help improve diagnostics, accelerate research, and power life-saving AI.
AI Advancements & Use Cases
How AI is transforming the Healthcare industry.
Medical Imaging Analysis
Training models for automated detection of tumors, fractures, and other anomalies in X-rays, CT scans, and MRIs with pixel-perfect segmentation.
Drug Discovery & Genomics
Accelerating research by structuring and annotating genomic data, molecular structures, and clinical trial results to identify new therapeutic targets.
Clinical NLP
Extracting structured information from unstructured clinical notes, patient records, and research papers to improve patient outcomes and streamline operations.
Our Data Solutions for the Healthcare Sector
Providing the foundational data infrastructure for Healthcare innovators.
HIPAA-Compliant Annotation
Providing secure, expert-in-the-loop annotation for sensitive medical data.
Our Process for the Healthcare Industry
Our streamlined four-step process ensures high-quality results with fast turnaround times.
1. Secure Data Ingestion
Receive de-identified medical images (DICOM, etc.) and clinical notes in a secure, HIPAA-compliant environment.
2. Protocol & Expert Setup
Work with medical experts to define annotation protocols and quality standards for the specific pathology.
3. Radiologist-in-the-Loop QA
Perform multi-layer annotation and QA with certified radiologists to ensure clinical accuracy.
4. Compliant Dataset Delivery
Deliver fully annotated, compliant datasets ready for diagnostic AI model development and FDA submission.
Customer Success Stories
Discover how leading companies have achieved breakthrough results with Pulan AI's data annotation services.
Medical Imaging AI
98% Diagnostic Accuracy
A medical imaging startup achieved 98% accuracy in their diagnostic AI for tumor detection by using our precise semantic segmentation services.
Healthcare
30% Reduction in False Positives
By cleansing patient data and removing noisy signals, a medical research group reduced false positives in their predictive models by 30%.
Ready to Build the Future?
Let's discuss how our data solutions can accelerate your AI initiatives.