Physician-Led Clinical AI Validation. Same Timezone. 30–40% Less.
TermSignal Labs is the human-in-the-loop QA and research labeling layer for healthcare AI teams. Latin America's best licensed physicians validate model outputs, review clinical data, and deliver audit-ready results — in two weeks.
Clinical AI that hasn't been physician-reviewed isn't ready for deployment.
Serving AI companies and research institutions across
55K+
licensed physicians across LatAm
< 5 days
turnaround on first batch
95%+
inter-annotator agreement
2 weeks
pilot to first delivery
Validation Pipeline
How clinical AI validation works.
We credential your reviewers
Every physician reviewer is licensed, credentialed, and trained on your validation schema. We verify medical licenses, assess clinical English proficiency, and run a paid trial scored against gold-standard rubrics before any reviewer touches your data.
We configure your validation workflow
Tell us your model type, clinical vertical, and QA requirements. We deploy the right physician profile — generalist, radiologist, or pathologist — and configure a human-in-the-loop review pipeline matched to your evaluation criteria.
You receive audit-ready validated outputs
Physician-reviewed, structured, and traceable. Every output includes inter-annotator agreement scores, adjudication logs, and delivery to your specification — with managed QC and transparent pricing.
Ready to validate your clinical AI model?
Start with a five-physician pilot. Results in five business days.
Validation Services
Clinical AI validation for every stage of deployment.
The same physician-led validation network serves AI teams shipping fast and research institutions running compliance-driven studies.
AI model validation for fast-moving teams
Physician-led validation on a pilot-first model. Start with a small team, validate your first batch, scale when you see results. No procurement cycles, no minimum commitments beyond the initial pilot. Reduce deployment risk before you ship.
| Time to start | 2–4 weeks |
| Engagement | Scoped to team size |
| Rate | Per hour or per dataset |
| Billing | Monthly recurring |
Pilot Offer
Start with 5 physicians, 30 days, fixed rate.
Cancel anytime. No procurement process. See results before committing to a full engagement.
See our validation workflow in action.
We'll walk you through a sample validation run on a real clinical dataset.
Validation Use Cases
Where clinical AI validation is needed.
Clinical RLHF & AI Model Evaluation
Human-in-the-loop feedback for AI training pipelines
Stop waiting three weeks for internal clinicians to review model outputs. Physician-led validation in five business days — so you can iterate and deploy faster.
EHR Validation & Clinical NLP Review
Physician review for unstructured clinical text and NLP models
Your clinicians should be seeing patients, not validating training data. We deliver structured, physician-reviewed EHR datasets at 30–40% under US rates.
Radiology & Pathology AI Validation
Credentialed imaging specialists for medical AI QA
Audit-ready AI validation from board-eligible specialists who understand clinical context — not crowd workers guessing at anatomy.
Clinical Research Data Validation
Audit-ready documentation for regulated studies
Your researchers are validating data instead of running experiments. We handle physician review and compliance documentation so your team gets back to science.
Not sure which validation service fits your project?
Tell us your model type and we'll recommend the right physician profile.
Quality Assurance
Your validation reviewers are licensed physicians.
Every physician in our network holds an active medical license and Cédula Profesional. They are not crowd workers — they are the clinical validation and research labeling layer between your AI model and deployment.
General Physician / Internist
Available across all major specialties
Radiologist
Subspecialties available on request
Three-stage screening
Stage 1
Application Filter
Credential verification, license validation, English proficiency screening
Stage 2
Assessment
Domain knowledge test with 85%+ pass threshold required
Stage 3
Paid Trial
Live annotation trial with 90%+ accuracy required to join the network
FAQ
Clinical AI validation — answered.
What is clinical AI validation?
Clinical AI validation is the process of having licensed physicians systematically review, evaluate, and quality-check AI model outputs before deployment in healthcare settings. It encompasses human-in-the-loop QA, inter-annotator agreement scoring, adjudication workflows, and traceable audit documentation — ensuring your AI system meets the accuracy and safety standards required for clinical use.
How does human-in-the-loop QA work?
Human-in-the-loop QA embeds credentialed physician reviewers directly into your model evaluation pipeline. Physicians assess AI outputs against clinical gold standards, flag errors, and resolve disagreements through structured adjudication. Every review produces a traceable audit log — the documentation your compliance and regulatory teams require for safe AI deployment.
Why is physician review important for AI models?
Clinical AI models fail in ways that automated QA cannot detect. Physician reviewers catch clinically significant errors — misclassified findings, ambiguous outputs, domain-context failures — that pattern-matching alone will miss. Physician-led validation also produces the compliance documentation required for FDA submissions, IRB approvals, and enterprise AI deployment.
How quickly can we start clinical AI validation?
AI teams can be live within two weeks of the first call. We configure your validation workflow, match the right physician profile to your project, and deliver your first reviewed batch within five business days. Research institutions running regulated studies typically require 6–12 weeks for procurement and IRB documentation.
Start with five physicians. Thirty days. Fixed rate.
No procurement process. No minimum commitment beyond the pilot. Most teams are live within two weeks of the first call.