Medium Business Case Study - Incepto Medical
- Aigent
- May 28
- 1 min read
Client Profile:
Incepto Medical is a Paris-based health tech firm with around 100 employees, offering AI-powered diagnostic tools for radiology departments across Europe.
Business Challenge:
Radiologists faced backlogs from manual anomaly detection, risking delayed patient care. Strict EU regulations required high precision and auditability.
Solution:
Incepto implemented an anomaly-detection AI agent within hospital PACS, flagging potential issues in scans and generating real-time alerts with explainable heatmaps. A human-in-the-loop dashboard let clinicians confirm or reject findings, feeding back into model improvements.
Implementation Highlights:
After initial integration with six pilot hospitals, the agent processed two million scans. Weekly review sessions refined algorithms, ensuring performance met regulatory standards.
Features & Benefits:
The AI agent reduced initial anomaly detection time by 80%, prioritized critical cases, and maintained 97% precision. Explainable outputs built clinician trust and compliance.
Measurable Results:
Radiologist throughput increased by 30%, backlog reduced by 50%, and diagnostic turnaround improved from 48 to 12 hours on average.
Key Takeaways
Regulated sectors benefit from transparent AI, iterative feedback, and close clinician collaboration.
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