Abstract 175: A Retrospective Analysis Comparing AIDoc and RAPIDAI in the Detection of Large Vessel Occlusions
Artificial intelligence (AI) has become a popular topic due to the belief that AI can help physicians function more quickly and efficiently. One area of healthcare where AI has shown to be particularly useful is in diagnosing ischemic strokes, a leading cause of death and disability worldwide. Time is of essence when it comes to diagnosing and treating strokes as patients who receive quicker treatment have better outcomes.
Authors
- Himanshu Chokhawala (ORCID: https://orcid.org/0009-0008-3019-7111)
- Muhammad Yasir Khalid (ORCID: https://orcid.org/0000-0002-4462-7951)
- Muhammad Talha Ayub (ORCID: https://orcid.org/0000-0001-5868-5143)
- Octavio Arevalo (ORCID: https://orcid.org/0000-0001-5307-5012)
- Joshua Strobel
- Christopher Stevens (ORCID: https://orcid.org/0000-0003-3178-3290)
- Hugo H. Cuellar-Saenz
- Muhammad Ali Sheikh
- Mary Bankston
Institutions
- Louisiana State University Health Sciences Center Shreveport (US)
Publication Details
- Journal
- Stroke Vascular and Interventional Neurology
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1161/svin.04.suppl_1.175
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00