Congress:
ECR25
Poster Number:
C-11998
Type:
Poster: EPOS Radiologist (educational)
Authorblock:
P. Cifrian Casuso, A. Guitián Pinilla, Á. Sánchez Mulas, C. A. López López, D. Castanedo Vázquez, A. Somoano, S. Revuelta Gómez, A. Sánchez-Gabin, M. Arroyo Olmedo; Santander/ES
Disclosures:
Pilar Cifrian Casuso:
Nothing to disclose
Angela Guitián Pinilla:
Nothing to disclose
Álvaro Sánchez Mulas:
Nothing to disclose
César Antonio López López:
Nothing to disclose
David Castanedo Vázquez:
Nothing to disclose
Alejandra Somoano:
Nothing to disclose
Silvia Revuelta Gómez:
Nothing to disclose
Aranzanzu Sánchez-Gabin:
Nothing to disclose
Marina Arroyo Olmedo:
Nothing to disclose
Keywords:
Anatomy, Neuroradiology brain, Vascular, CT, CT-Angiography, MR, Education, Embolism / Thrombosis, Haemorrhage, Ischaemia / Infarction
- To explore how Artificial Intelligence (AI) can revolutionize the early detection of cerebral venous thrombosis (CVT).
- To identify the benefits and limitations of using AI algorithms in medical image interpretation.
- To describe the key signs AI must detect, the common pitfalls it must identify, and critical radiological scenarios that should alert AI systems.
- To present clinical cases where AI was pivotal in early identification of CVT.