Work

Artificial Intelligence in Acute Neuroimaging Pathways: Diagnostic Accuracy, Workflow Performance, and Clinical Outcomes Across CT and MRI in Stroke and Trauma

Year: 2025

Type: article

Abstract: This review summarizes current evidence on artificial intelligence (AI) applied to emergency neuroimaging for stroke and traumatic brain injury. Across diverse settings, most work focuses on CT-based tools that assist with detection, scoring, triage, and outcome prediction, with MRI used less often for complementary tasks. Findings generally suggest improved diagnostic support and early signals of workflow benefit, though study designs and reporting are heterogeneous. Overall, AI appears ready to augment acute care when integrated into decision pathways, but broader, practice-oriented evaluations with attention to robustness, equity, and real-world implementation remain necessary.

Source: Cureus

DOI: 10.7759/cureus.98312

Authors: Yashwanth Sooranahalli Nabh, Aashish D Rayapati, Ayesha Hamid

Institutions: Ashford and St Peter's Hospitals NHS Foundation Trust, East Kent Hospitals University NHS Foundation Trust

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4416916434