Haemin Go / Tuesday, June 21, 2022 / Categories: Podcast, Pre-Hospital, Topics, Testing/Assessment, Types Of Content, Podcast, Care Team, EMS, HEMS, Mobile Stroke Unit, ED First Patient Contact, Care Team, EM, Neuro, Stroke Team, Topics, CT Image, Types Of Content, Podcast, Testing, Triage & Disability Assessment, Care Team, Neuro, Neurorad, Stroke Team, Topics, Labs, Types Of Content, Podcast, Imaging & Diagnostics, Care Team, EM, Neuro, Neurorad, Stroke Team, Topics, Diagnostics, Types of Content, Podcast, Fibrinolytic Therapy, Care Team, EM, Hosp Med, Neuro, Neurosurg, Stroke Team, Types of Content, Podcast, Endovascular Therapy, Care Team, EM, Neuro, Neurorad, Neurosurg, Stroke Team, Topics, Pat. Selection, Types of Content, Podcast, ICU & Critical Care, Care Team, Critical Care, Hosp Med, Neuro, Stroke Team, Topics, Controversies, Types of Content, Podcast, Content Types, Podcast AI in Imaging - We All Know It’s Coming. Are We Ready for the Machines in Stroke? Moderator: Jordan Bonomo, MD, FCCM, FNCS Other Participants: Achala Vagal, MD, MS Stroke imagining is difficult and even in the best of hands it can be imperfect. The promise of AI augmented image interpretation is alluring and in place in many advanced systems in the nation already. What is coming next in AI, including automated detection algorithms for ICH, AIS and SAH has the potential to disrupt our current workflow. But there are challenges that must be addressed and limitations that we need to understand in order to best leverage the AI. Listen to Dr. Vagal give a masterclass on AI in stroke. Previous Article How Do I Identify Patients at Risk for a Secondary Event Following an Initial Acute Ischemic Stroke? Next Article Endovascular Strategies for Acute Strokes in the Era of COVID - What Changes? Print 11368 Rate this article: No rating Please login or register to post comments.