AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review
Vu-Thu-Nguyet Pham, Irini Logothetis, Prasanthan Thaveenthiran, Simon Vajda, Rondhir Jithoo, Joseph Mathew, Kon Mouzakis · 2026
Read AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review by Vu-Thu-Nguyet Pham, Irini Logothetis, Prasanthan Thaveenthiran, Simon Vajda, Rondhir Jithoo, Joseph Mathew, Kon Mouzakis (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13561197.txt.
Description
Vu-Thu-Nguyet Pham leads a team that reviews AI for brain injury scans. Their review from twenty twenty-six deals with traumatic brain injury on CT. Fast diagnosis is needed to prevent further harm.
Manual scan reading can delay care at small hospitals. AI methods aim to automate the assessment task. Standard review guidelines framed the search and screen. Data sets, model types, and scores were extracted. Bias was judged in a qualitative way instead. Preprocessing steps were part of the extraction form. The field's state is mapped for future work. Model scores formed the core extracted data.
Catalog record
| CREATOR | Vu-Thu-Nguyet Pham, Irini Logothetis, Prasanthan Thaveenthiran, Simon Vajda, Rondhir Jithoo, Joseph Mathew, Kon Mouzakis |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 91 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |