#United States #New Orleans #Health Tech #Aidoc AI #stroke triage

Aidoc Revolutionizes Stroke Care with New AI-Powered Triage Solutions

At the International Stroke Conference (ISC) 2026, Aidoc, a frontrunner in clinical artificial intelligence (AI), presented compelling evidence highlighting the advancements of their AI-powered solutions in triaging stroke patients. Two new scientific abstracts, emerging from independent academic research, showcased Aidoc's capacity to significantly enhance the accuracy of identifying large and medium vessel occlusions (LVOs and MeVOs) in real-world clinical settings.

Establishing a New Benchmark in Stroke Care

As healthcare systems increasingly turn to AI for swift and precise management of critical conditions, the emphasis on rigorous performance evaluations has never been more crucial. The data unveiled at the conference underscores notable performance gaps between Aidoc’s AI algorithms and other market solutions, especially in terms of sensitivity and anatomical coverage during triage processes.

In a landmark study conducted by The University of Texas Medical Branch, researchers compared Aidoc’s technology against a conventional AI provider by examining 1,557 consecutive CTA (Computed Tomography Angiography) exams. The findings were striking:

• - Higher Sensitivity for LVOs: Aidoc achieved an impressive 92.6% sensitivity in identifying head-to-head cases of large vessel occlusions compared to just 70.4% from the alternative AI solution.
• - Superior MeVO Sensitivity: For medium vessel occlusions, Aidoc’s technology recorded a robust 92.3% sensitivity, while the conventional vendor lagged behind at only 17.3%. This discrepancy of over 75% strongly emphasizes the critical need for high-quality AI solutions that enhance patient outcomes.
• - Overall Reliability: The negative predictive value (NPV) for Aidoc was 99.3%, granting healthcare providers enhanced trust in the notifications the system provides during triage.

Real-World Efficacy in Complex Environments

A second pivotal study carried out by Saint Louis University School of Medicine evaluated Aidoc's vessel occlusion detection algorithm across 1,000 CTA exams to assess its effectiveness in a real-world clinical environment. The results validated Aidoc's reliability:

• - High Specificity: The algorithm maintained a specificity of 97.1%, successfully minimizing false-positive alerts.
• - Comprehensive Vessel Coverage: It demonstrated strong performance in flagging occlusions in both anterior (87.6% sensitivity) and posterior (79.2% sensitivity) circulations, ensuring clinicians are alerted to critical occlusions regardless of their location in the vascular system.

Elad Walach, Aidoc's co-founder and CEO, commented on the findings, stating, "These results highlight a crucial distinction within the market; possessing an AI algorithm does not equate to clinical-grade performance. The 75% gap in sensitivity for identifying medium vessel occlusions underlines the importance of high-fidelity AI systems in managing complex, time-sensitive medical cases."

At ISC 2026, Aidoc showcased its Full Brain AI Solution at Booth #601, illustrating their commitment to advancing stroke care through cutting-edge technology. With this unveiling, Aidoc aims to support the healthcare sector in efficiently addressing the challenges presented by acute stroke cases.

About Aidoc

Aidoc stands at the forefront of clinical AI, leading the charge in delivering FDA-cleared computer-aided detection (CAD) solutions. Their technology serves over 60 million patients annually, enhancing clinical decision-making through real-time AI integration that alleviates cognitive load and increases productivity. Operating in more than 1,600 medical centers globally, Aidoc proves instrumental in the responsible and effective scaling of clinical AI within healthcare systems.

The advances showcased at ISC 2026 not only position Aidoc as a leader in stroke triage solutions but also point towards a future where AI is integral to achieving better patient outcomes in critical healthcare scenarios.