Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans
This study aimed to evaluate the predictive value and clinical impact of a clinically implemented artificial neural network software model. The software detects intracranial hemorrhage (ICH) from head computed tomography (CT) scans and artificial intelligence (AI)-identified positive cases are then...
Saved in:
| Main Authors: | David Bark, Julia Basu, Dimitrios Toumpanakis, Johan Burwick Nyberg, Tomas Bjerner, Elham Rostami, David Fällmar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mary Ann Liebert
2024-11-01
|
| Series: | Neurotrauma Reports |
| Subjects: | |
| Online Access: | https://www.liebertpub.com/doi/10.1089/neur.2024.0017 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development and validation of a nomogram to predict the probability of death after surgical evacuation for traumatic intracranial hemorrhage
by: Yan-Chao Zheng, et al.
Published: (2025-01-01) -
Unveiling BID: a key biomarker in apoptosis post-intracerebral hemorrhage
by: Kun Dai, et al.
Published: (2025-02-01) -
Age-modified and point-modified intracerebral hemorrhage (ICH) scores are more reliable alternatives to the original ICH score for Indonesian patients: A retrospective cohort study at a tertiary center in Indonesia
by: Aloysius Bagus Sasongko, et al.
Published: (2025-04-01) -
Intracranial Hemorrhage in a Patient of Hemophilia A with Factor VIII Inhibitors Positive: A Case Report
by: Melvin K. Ninan, et al. -
Risk of Symptomatic Intracranial Hemorrhage After Mechanical Thrombectomy in Randomized Clinical Trials: A Systematic Review and Meta-Analysis
by: Abdullah Reda, et al.
Published: (2025-01-01)