logo
ResearchBunny Logo
A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

Medicine and Health

A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

Z. Shi, C. Miao, et al.

A groundbreaking study by Zhao Shi and colleagues demonstrates a deep-learning model that significantly enhances the diagnosis of intracranial aneurysms using computed tomography angiography, surpassing traditional readings by radiologists and expert neurosurgeons. This model, tested across varied imaging conditions, shows a remarkable 99.0% accuracy in predicted-negative cases, potentially reducing clinician workloads and improving patient care.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny