Medical AI

iMerit collaborates to deploy AI and Machine Learning in the Computer Vision, Natural Language Processing and Content Services ecosystems by enriching, annotating and labeling data.

iMerit works with leading pharmaceutical companies, device manufacturers, health plans, and provider networks to deliver quality, secure, HIPAA-compliant data solutions both locally and off-shore. Read iMerit’s HIPAA Business Associate Privacy Policy here.


Digital Pathology

iMerit’s Pathologist-led specialized teams annotate cells and tissues on Whole Slide Images (WSI) to help pharmaceutical companies develop next generation products and treatments across a whole host of diseases.

Digital Radiology

iMerit’s Radiologist-led imaging enrichment and annotation teams process tens of thousands of plain films, CTs, MRIs and ultrasound images to produce ground truth data for advanced diagnostic technology.

Medical Text & Documents

From information extraction to advanced NLP, iMerit’s experts in the medical lexicon dissect text and audio in medical records, digital documents, and clinical trial data to power robotic process automation, clinical decision support algorithms, and virtual assistants.

lesion detection - Medical AI
Robotic-Assisted Surgery and Endoscopy

Global leaders in robotics and endoscopy rely on iMerit’s expert computer vision data teams to drive innovation in instrument tracking, lesion detection, and phase identification.

Biomechanics - Sports medicine
Behavioral Health, Sports Medicine

From advanced home monitoring to professional athlete biomechanics, iMerit works with innovative companies to help create advanced solutions in safety and performance.

By the Numbers


Medical data labeling experts



Data points enriched for Medical AI


The need for speed in high-quality data annotation has never been greater. iMerit combines the best of predictive and automated annotation technology with world-class data annotation and subject matter experts to deliver the data you need to get to production, fast.

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