Back to search

Article

Artificial Intelligence-Enhanced Transcranial Doppler Ultrasound and Optic Nerve Sheath Diameter as Neuroimaging Biomarkers in Psychiatric and Neurological Disorders: A Systematic Review

2025-08-22

Abstract excerpt

Artificial Intelligence (AI) is transforming neuroimaging by significantly enhancing diagnostic speed, accuracy, and reproducibility. Ultrasound-based modalities, particularly Transcranial Doppler (TCD) and Optic Nerve Sheath Diameter (ONSD), offer substantial advantages as portable, economical, and practical alternatives to traditional imaging techniques, especially in resource-limited or emergency settings. This...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3b6f86fc-adab-5950-9bf2-3d0f5bb04a31
DOI
10.22541/au.175583900.01200380/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial Intelligence-Enhanced Transcranial Doppler Ultrasound and Optic Nerve Sheath Diameter as Neuroimaging Biomarkers in Psychiatric and Neurological Disorders: A Systematic ReviewDOI 10.22541/au.175583900.01200380/v1
Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurementsSemantic proximity
Evaluating Artificial Intelligence in the Support of Aneurysmal Subarachnoid Hemorrhage Management: A Comparative Analysis of Contemporary Clinical Guidelines, Expert-Identified Controversial Questions, and Three Major AI ModelsSemantic proximity
Evaluation of Advanced Artificial Intelligence Algorithms' Diagnostic Efficacy in Acute Ischemic Stroke: A Comparative Analysis of ChatGPT-4o and Claude 3.5 Sonnet ModelsSemantic proximity
The Impact of Artificial Intelligence on Large Vessel Occlusion Stroke Detection and Management: A Systematic Review Meta-analysisSemantic proximity
Construction and Validation of an Artificial Intelligence-Assisted Diagnostic Model for Glioma Based on Laboratory Indicators: A Single-Center Retrospective Cohort StudySemantic proximity
Commercial Artificial Intelligence for Intracranial Aneurysm Detection on CT Angiography: A Systematic ReviewSemantic proximity
The Use of Artificial Intelligence In Magnetic Resonance Imaging of Epilepsy: A Systematic Review and Meta-AnalysisSemantic proximity
Artificial Intelligence-Based Methods for Earlier Diagnosis and Personalized Management in Neuro-Ophthalmic and Neurodegenerative DisordersSemantic proximity
Precise thrombolytic drug treatments for stroke based on artificial intelligence：based on wide and deep modelSemantic proximity
Integrating Vascular, Neurological, and Metabolic Factors into a Validated Nomogram to Predict 90‑day Outcomes after Mechanical Thrombectomy for Acute Ischemic StrokeSemantic proximity
Physics-Informed Digital Twin Can Predict Cerebral Blood Flow and Cerebral Vascular Regulation Mechanisms in Neurocritical Care PatientsSemantic proximity
Oculomics and Automated Retinal Microvasculature Analysis: Applications for Thalamic Microvascular LesionsSemantic proximity
Select a neighboring publication to make it the new centre.