May 14, 2025 – Bialogics Analytics Inc., a leader in radiology informatics, has introduced its new AI solution AI Quality Framework (AIQ), a first-of-its-kind, evidence-driven framework for continuous, real-time assessment of AI systems in diagnostic imaging.
Despite AI’s growing presence in radiology, lingering doubts about reliability, transparency, and real-world effectiveness are challenging widespread adoption. AIQ addresses these concerns head-on with a robust, evidence-based methodology that empowers radiologists and healthcare leaders to monitor, validate, and optimize the use of AI solutions to achieve clinical impact and measurable outcomes.
“With AIQ, we’re shifting AI evaluation from intuition and isolated testing to a continuous, data-backed strategy that aligns with the clinical rigour that radiology demands,” said Jeff Vachon, President of Bialogics. “This is evidence-driven AI performance in action, where real-world metrics directly empower clinical practice.”
Key Features of the Evidence-Driven AIQ Framework:
- Real-time Monitoring: Validates AI outputs against radiologist-grounded diagnoses for ongoing quality control and assurance.
- AIQ calculates AI Scoring by measuring core performance indicators in real-time, including Concordance, Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy, and Enhanced Detection Rate (EDR), enabling evidence-based AI adoption.
- Workflow Optimization Metrics: Assesses AI’s impact on report turnaround time, productivity, and radiologist workload; translating technical performance into operational value.
- Bias and Drift Detection: Identifies demographic disparities and predictive drift, ensuring AI performs reliably across populations and over time.
- AIQ Score: A composite, weighted performance score reflecting clinical validity and operational efficiency, tailored to disease-specific applications.
By integrating diagnostic metrics with workflow and clinical utility data, AIQ enables healthcare organizations and AI providers to adopt AI responsibly and transparently, anchoring decisions in a standardized framework of evidence-driven AI performance.
“Healthcare leaders need more than just theoretical models, they need proof,” added Vachon. “AIQ gives them the clinical evidence, operational insights, and real-time data needed to confidently evaluate and implement AI technologies at scale.”
With AIQ, Bialogics is setting a new benchmark for AI accountability in radiology, ensuring that innovation is guided by evidence, transparency, and improved outcomes. Our vendor-agnostic platform allows for direct integration of AI Algorithms and workflow platforms.
May 20, 2026 
