Your medical AI algorithm is only as strong as the clinical expert trying to break it. We stress-test, validate, and document AI-powered Software as a Medical Device (SaMD) before it reaches FDA or CE Mark submission — led by a practicing cardiac electrophysiologist.
// The Regulatory Challenge
Regulatory bodies increasingly scrutinize the clinical validity of AI algorithms in medical devices. A technically sound algorithm that hasn't been rigorously tested by clinical experts with real-world knowledge can fail at submission — or worse, after deployment.
Our red-teaming methodology goes beyond standard testing. We simulate real clinical edge cases, ambiguous presentations, and failure modes that only a practicing specialist would know to probe.
of AI/ML-based SaMD submissions require additional clinical evidence per FDA guidance
Software as a Medical Device — a rapidly growing FDA and IMDRF regulatory category
Act + MDR/IVDR create overlapping AI compliance requirements across European markets
Cardiac electrophysiology expertise — among the highest-risk domains in AI-assisted diagnostics
// Our Methodology
Designed to satisfy FDA's AI/ML-Based SaMD Action Plan and EU MDR clinical evaluation requirements — while actually making your algorithm better.
PHASE 01
We review your algorithm's intended use, training data, performance metrics, and target population. We identify clinical risk domains and define a validation scope aligned with your regulatory pathway.
PHASE 02
We systematically probe your algorithm with adversarial clinical scenarios — edge cases, atypical presentations, comorbidities, device interactions, and real-world data noise that standard test sets miss.
PHASE 03
We document identified failure modes with clinical severity ratings, root cause hypotheses, and recommended mitigations. All findings are structured to align with FDA's TPLC and predetermined change control plans.
PHASE 04
You receive a comprehensive clinical validation report and, when required, a signed clinical expert statement suitable for inclusion in your FDA 510(k), De Novo, PMA, or CE Technical File.
// Domain Coverage
Our expertise is deepest in cardiovascular AI, but our methodological framework extends to adjacent high-risk diagnostic domains.
ECG interpretation, arrhythmia detection, atrial fibrillation screening, device interrogation analysis, and remote monitoring alert triage. Our primary domain of deep clinical expertise.
AI-assisted echocardiography, cardiac CT/MRI segmentation, valve disease assessment, and heart failure classification algorithms requiring clinical validation support.
Algorithms assessing drug-device interactions, antiarrhythmic drug selection support, and polypharmacy risk scoring in cardiac patients — leveraging ABC Farma's pharmaceutical knowledge base.
Risk stratification tools, sepsis alerts, early warning systems, and treatment recommendation engines that fall under FDA's CDS guidance and require clinical expert evaluation.
LLM-powered clinical documentation, discharge summary generation, and patient communication tools that need validation for clinical accuracy, hallucination rate, and safety thresholds.
Wearable-based cardiac monitoring, implanted device remote follow-up algorithms, and AI-driven alert prioritization systems used in post-market surveillance and chronic disease management.
// Why Trust Us
Unlike validation services offered by regulatory consultants without clinical backgrounds, our expertise is forged in the electrophysiology lab — where algorithms confront the full complexity of real human physiology.
The most dangerous failure modes in medical AI are the ones that only reveal themselves when you know exactly what the algorithm was never trained to handle. That's what a red-teaming clinician does — and what regulatory reviewers increasingly expect to see documented.
— ABC Farma · MedTech AI Services
// What You Receive
Every document is structured to integrate directly into your FDA or CE technical file — saving your regulatory team significant preparation time.
| Deliverable | Description | Format | Regulatory Use |
|---|---|---|---|
| Clinical Validation Report | Comprehensive assessment of algorithm clinical performance, edge case findings, failure modes, and risk severity ratings | PDF / DOCX | 510(k), De Novo, PMA, CE Technical File |
| Red-Teaming Test Protocol | Documented adversarial test cases, clinical scenarios used, pass/fail criteria, and observed algorithm behavior | Design Validation, V&V Documentation | |
| Clinical Expert Statement | Signed statement from the clinical validator attesting to the algorithm's clinical appropriateness and risk acceptability | Signed PDF | CE IVDR/MDR, FDA Expert Opinion |
| Failure Mode Register | Structured inventory of identified failure modes with clinical severity, probability estimates, and recommended mitigations | XLSX / PDF | Risk Management (ISO 14971) |
| Executive Summary (EN · ES) | Plain-language summary of validation outcomes for non-specialist stakeholders and international regulatory authorities | PDF (bilingual) | Regulatory Submissions, Board Reporting |
Reach out for a no-commitment consultation. We'll assess your algorithm's regulatory pathway and outline how we can support your submission.
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