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

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Throughout a current webinar, Robert Lookstein, MD, Professor of Radiology and Surgical procedure on the Icahn Faculty of Medication at Mount Sinai, mirrored on how AI-enabled instruments have advanced over the previous decade – and the way far they’ve are available in reworking affected person care.

Early AI instruments have been largely targeted on computer-aided detection (CAD), aiming to establish pathologies reminiscent of pulmonary embolism (PE) immediately from imaging. However as Dr. Lookstein famous, merely figuring out the issue isn’t sufficient anymore. The true problem lies in leveraging these instruments to enhance workflows and ship higher outcomes.

He defined that at this time’s AI platforms go far past consciousness. They combine seamlessly with digital medical data (EMRs) and automate notifications to applicable care groups. For instance, when an AI system identifies a suspected PE, it instantly alerts related clinicians by way of cell apps. Clinicians are in a position to overview the affected person’s EMR and chat with different members of the care group immediately within the app, enabling speedy triage and real-time, seamless collaboration, no matter the place they’re within the hospital.

As Dr. Lookstein stated: “What if we had your complete EMR at our fingertips inside this digital surroundings, having the ability to chat? Wouldn’t that be a strong instrument? I’ll inform you, that’s the place we’re proper now. It truly is such a vibrant future we’re all going through, having the ability to mixture all these instruments to offer higher affected person care.”

Watch Dr. Lookstein hint the evolution of AI for acute PE within the clip under, and don’t miss the complete on-demand webinar, “AI and the Way forward for Venous Thromboembolism (VTE) Care,” for additional insights from clinicians at Cedars-Sinai.

See also  Bottlenecks in Healthcare AI Adoption

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