“Our model performs well internally, but we don’t know if it generalizes.”
AI/ML ALGORITHM READINESS REVIEW
Is your medical AI algorithm ready for clinical validation?
An independent technical review of your model, data, evaluation strategy, generalization evidence, and remaining risks before model lock or clinical validation.
7–10 business days·US$7,500
Deep learning · Biosignals · Model diagnostics · Clinical AI validation
01Development modelPromising internal evidence
02 / TEST WHAT CHANGES
New patients
New sites
New devices
03Clinical validationEvidence for intended use
WHERE READINESS BREAKS
A strong development metric doesn’t mean the model is ready.
Medical AI models often expose new problems when evaluated on unseen patients, new clinical sites, different devices and protocols, clinically important subgroups, or noisy and lower-quality signals.
“Aggregate performance looks good, but there are important failure cases.”
“We don’t know whether the bottleneck is the data, signal, labels, or model.”
“Clinical validation is approaching and important technical questions are still unresolved.”
WHAT THE REVIEW ASSESSES
A connected view of the algorithm and its evidence.
Data provenance
Train/validation/test independence
Patient-level splitting
Data leakage risk
Ground-truth quality
Signal/input quality
Dataset representativeness
Model architecture and stability
Performance metrics
Patient-level error analysis
Clinically important operating ranges
Subgroup performance
Site generalization
Device generalization
Protocol generalization
Remaining experiments
Model-lock readiness
DECISION-READY OUTPUTS
What your team receives
Executive Readiness Summary
Overall assessment, key findings, and major technical risks.
Technical Gap Matrix
Current state, evidence, risk level, recommendation, and priority.
Algorithm Risk Register
Critical, high, medium, and lower-priority technical risks.
Priority Experiment Plan
Experiments or analyses that should be completed before proceeding.
Model-Lock Recommendation
A clear conclusion: Ready, Ready with Conditions, or Not Ready.
60–90 Day Technical Roadmap
Prioritized next steps for the ML and technical team.
Executive Technical Readout
Final presentation and discussion with technical stakeholders.
WHO THIS IS FOR
Best suited for teams that already have a working model.
Preparing for model lock, external or clinical validation, a major technical milestone, or a decision about whether the algorithm is mature enough to move forward.
Typical buyers
CTO · VP R&D · VP Engineering · Head of ML / Data Science · Chief Scientific Officer · Technical founder
NOT THE RIGHT FIT FOR
- Idea-stage products with no model or data
- Building an AI system from scratch
- Open-ended model development
- Full software/code audits
- Regulatory pathway strategy
- 510(k), De Novo, or PMA submission drafting
- eSTAR preparation
- QMS implementation
- Clinical study operations
WHY CSA INTELLIGENCE
Senior technical judgment for algorithms moving beyond R&D.
Principal-led by Cristiano Aguiar, Ph.D.
The person you speak with during discovery is the person reviewing the model, analyzing the evidence, and presenting the recommendations.
- 15+ years building applied machine-learning systems
- Medical AI experience from research through production and clinical validation
- Deep expertise in physiological signals, biosignals, time-series ML, and deep learning
- Experience diagnosing difficult model bias, generalization, signal-quality, and evaluation problems
- FDA-facing experience supporting technical algorithm evidence
- 4,000+ professionals reached through MIT and Johns Hopkins AI programs
HOW IT WORKS
From technical question to a clear decision.
Technical fit call
A short conversation to understand the algorithm, current stage, and upcoming decision.
Inputs and kickoff
Your team provides existing model documentation, evaluation results, dataset information, and agreed inputs.
Independent technical review
CSA Intelligence evaluates the algorithm, data, performance evidence, generalization, and unresolved risks.
Decision-ready readout
You receive the findings, readiness conclusion, priority experiments, and 60–90 day roadmap.
AI/ML ALGORITHM READINESS REVIEW
Find out what still needs to be solved before clinical validation.
If your team has a working medical AI model and an important validation or model-lock decision approaching, start with a short technical fit call.
7–10 business days·US$7,500
Schedule directly REQUEST A TECHNICAL FIT CALL