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Abstract TMP14: Machine Learning-Enabled Detection Of Unruptured Cerebral Aneurysms Improves Detection Rates And Clinical Care

Year: 2023

Type: conference-abstract

Source: Stroke

DOI: 10.1161/str.54.suppl_1.tmp14

Authors: Iman Ali, Sergio Salazar-Marioni, Rania Abdelkhaleq, Arash Niktabe, Luca Giancardo, Christopher J Love, Dan Paz, Orin Bibas, Omri Segev, Sunil Sheth

Institution: The University of Texas Health Science Center at Houston

Language: English

Topic: Intracranial Aneurysms: Treatment and Complications

Subfield: Clinical Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4319006053

Cites:

Cited by: 1

Related to: 10