Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

S Chilamkurthy, R Ghosh, S Tanamala, M Biviji… - The Lancet, 2018 - thelancet.com
Background Non-contrast head CT scan is the current standard for initial imaging of patients
with head trauma or stroke symptoms. We aimed to develop and validate a set of deep …

Brain midline shift measurement and its automation: a review of techniques and algorithms

CC Liao, YF Chen, F **ao - International journal of biomedical …, 2018 - Wiley Online Library
Midline shift (MLS) of the brain is an important feature that can be measured using various
imaging modalities including X‐ray, ultrasound, computed tomography, and magnetic …

[HTML][HTML] Automated detection and screening of traumatic brain injury (TBI) using computed tomography images: a comprehensive review and future perspectives

A Gudigar, U Raghavendra, A Hegde… - International journal of …, 2021 - mdpi.com
Traumatic brain injury (TBI) occurs due to the disruption in the normal functioning of the
brain by sudden external forces. The primary and secondary injuries due to TBI include …

Development and validation of deep learning algorithms for detection of critical findings in head CT scans

S Chilamkurthy, R Ghosh, S Tanamala, M Biviji… - arxiv preprint arxiv …, 2018 - arxiv.org
Importance: Non-contrast head CT scan is the current standard for initial imaging of patients
with head trauma or stroke symptoms. Objective: To develop and validate a set of deep …

Noninvasive methods of detecting increased intracranial pressure

W Xu, P Gerety, T Aleman, J Swanson, J Taylor - Child's nervous system, 2016 - Springer
The detection of elevated intracranial pressure (ICP) is of paramount importance in the
diagnosis and management of a number of neurologic pathologies. The current gold …

Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans

C Brossard, J Grèze, JA de Busschère, A Attyé… - Scientific Reports, 2023 - nature.com
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI)
patients at the early phase of intensive care unit (ICU) remains challenging. Computed …

AI-based decision support system for traumatic brain injury: a survey

F Rajaei, S Cheng, CA Williamson, E Wittrup… - Diagnostics, 2023 - mdpi.com
Traumatic brain injury (TBI) is one of the major causes of disability and mortality worldwide.
Rapid and precise clinical assessment and decision-making are essential to improve the …

Imaging in neurocritical care practice

C Williamson, L Morgan, JP Klein - Seminars in respiratory and …, 2017 - thieme-connect.com
The use of neuroimaging in conjunction with serial neurological examinations is a core
component of modern neurocritical care practice. Although there is a growing role for other …

Automated identification and quantification of traumatic brain injury from CT scans: Are we there yet?

A Hibi, M Jaberipour, MD Cusimano, A Bilbily… - Medicine, 2022 - journals.lww.com
Background: The purpose of this study was to conduct a systematic review for understanding
the availability and limitations of artificial intelligence (AI) approaches that could …

A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model

S Chatterjee, A Das - Soft Computing, 2020 - Springer
Brain tumor is an alarming threat among children and adults worldwide. Early detection and
proper diagnosis of the tumor can enhance the chance of accurate survival among the …