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3 Things That Make Aidoc's Radiology Solution Stand Out

Healthcare leaders are navigating pressures from every angle — increased imaging volume, burnout, siloed and fragmented workflows. When diagnostic errors or delays have a downstream ripple effect, the cost isn’t just clinical. It’s operational and financial, too. 

With Aidoc’s Radiology Solution, healthcare organizations are getting more than just algorithms. They’re getting a solution that’s turning disconnected AI tools into a cohesive, enterprise-ready system that: 

  • Streamlines workflows
  • Surfaces high-impact clinical insights
  • Accelerates decisions where they matter most — even at the point of care.

How Is Aidoc’s Radiology Solution Different from Competitors?

1. A True AI Platform

What Aidoc offers isn’t a marketplace, which is a third-party reseller of disconnected algorithms. It’s a true AI platform, which gives you the infrastructure to operationalize and govern at scale. 

Our aiOS™ platform can ingest messy data, orchestrate intelligent workflows, monitor performance in real-time and drive measurable outcomes from diagnosis to follow-up.

Learn more about Aidoc’s aiOS™.

2. Orchestration That Goes Beyond Routing

Aidoc’s AI goes beyond basic routing by analyzing both imaging and clinical data to surface suspected and incidental findings with prioritized acuity. It selects the most relevant series for accurate analysis, improving disease identification while minimizing irrelevant findings.

3. Connectivity Across the Imaging Enterprise

Aidoc integrates seamlessly with your existing imaging infrastructure — across sites, vendors and specialties — delivering tailored, high-impact AI without layering on complexity and seamlessly connecting radiology with care teams for more timely interventions. 

Aidoc in Clinical Settings

With Aidoc, you don’t have to wonder if our Radiology Solution is impactful. We can back it up. Our Radiology Solution is live at more than 150 medical centers, analyzes 3 million patients in a clinical setting each month and is backed by more than 180 clinical studies.

Aidoc Results: By the Numbers

In recent studies, Aidoc’s Radiology Solution has shown: 

  • Up to 45% increased awareness of incidental findings1
  • Up to 98% faster radiology turnaround time (TAT)2
  • Up to 56% reduction in wait time3
  • 2-3 day reduction in intensive care unit (ICU) length of stay (LoS)4

Ready to set your health system up for success?

Book a demo.

Citations

  1. Bader, Anna S., et al. “Use of a Machine Learning Algorithm to Detect Incidental Pulmonary Embolus.” Abstract presented at the SIIM2020, 2020.
  2. Topff, Laurens, et al. “Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT.” RSNA 2023 Scientific Assembly and Annual Meeting Abstracts, 2023.
  3. Arash, Dr., et al. “Optimizing Outpatient Care Efficiency: Assessing the Impact of an AI-Powered Triage and Prioritization System on Cervical Spine Fracture Detection through CT Imaging.” RSNA Annual Meeting, 2024.
  4. Gupta, Kavish, MD, et al. “Mechanical Thrombectomy, Artificial Intelligence and the Activation of a Pulmonary Embolism Response Team.” PERT Consortium 2023, abstract presentation.

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Tia Albright
Tia Albright
Manager, Radiology and ED Marketing Communications