Case Study
Accelerating Patient Diagnosis with AI-Powered Medical Imaging & Symptom Intelligence
Explore how Keylent delivered a 60% reduction in diagnostic turnaround time and a 75% improvement in early disease detection, revolutionizing patient care through intelligent automation and real-time clinical insights.
Project Overview
A digital health startup aimed to democratize access to high-quality diagnostics, but faced challenges in scaling manual radiology workflows, interpreting diverse symptom data, and delivering timely results to patients and providers. The lack of automation and predictive capabilities limited their ability to serve growing patient volumes and expand into new markets. Keylent designed and deployed a Healthcare Diagnostics Assistant, an AI powered platform that integrates image recognition, symptom analysis, and clinical decision support. The solution enabled automated diagnostics from X-rays, MRIs, and CT scans, while also analyzing patient-reported symptoms to assist physicians in identifying potential conditions faster and more accurately.
Key Challenges
Manual Diagnostic Workflows
Inconsistent Symptom Interpretation
Limited AI Integration
Data Privacy & Compliance
Our Solution
- Imaging Analysis
- Symptom Intelligence (NLP)
- Decision Support Dashboards
- Secure & Compliant Architecture
Key Technologies
Impact
60%
Reduction in diagnostic turnaround time
75%
Improvement in early disease detection accuracy
85%
Increase in physician decision-making efficiency
Client Testimonial
“Keylent’s AI-powered diagnostics platform has completely transformed our clinical workflows. The image recognition models are incredibly precise, and the symptom intelligence module helps our physicians make faster, more informed decisions. We’ve seen a dramatic improvement in patient outcomes and operational efficiency.”
— Chief Medical Officer, Digital Health Startup