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Aidoc Staff

AI for Acute Pulmonary Embolism: The Mount Sinai Health System Journey

Care Coordination, Pulmonary Embolism, System Integration
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During a recent webinar, Robert Lookstein, MD, Professor of Radiology and Surgery at the Icahn School of Medicine at Mount Sinai, reflected on how AI-enabled tools have evolved over the past decade – and how far they’ve come in transforming patient care.

Early AI tools were largely focused on computer-aided detection (CAD), aiming to identify pathologies such as pulmonary embolism (PE) directly from imaging. But as Dr. Lookstein noted, simply identifying the problem isn’t enough anymore. The real challenge lies in leveraging these tools to improve workflows and deliver better outcomes.

He explained that today’s AI platforms go far beyond awareness. They integrate seamlessly with electronic medical records (EMRs) and automate notifications to appropriate care teams. For example, when an AI system identifies a suspected PE, it immediately alerts relevant clinicians via mobile apps. Clinicians are able to review the patient’s EMR and chat with other members of the care team directly in the app, enabling rapid triage and real-time, seamless collaboration, regardless of where they are in the hospital.

As Dr. Lookstein said: “What if we had the entire EMR at our fingertips within this virtual environment, being able to chat? Wouldn’t that be a powerful tool? I’ll tell you, that’s where we are right now. It really is such a bright future we’re all facing, being able to aggregate all these tools to provide better patient care.”

Watch Dr. Lookstein trace the evolution of AI for acute PE in the clip below, and don’t miss the full on-demand webinar, “AI and the Future of Venous Thromboembolism (VTE) Care,” for further insights from clinicians at Cedars-Sinai.

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