[HTML][HTML] Oncologic applications of artificial intelligence and deep learning methods in CT spine imaging—a systematic review

W Ong, A Lee, WC Tan, KTD Fong, DD Lai, YL Tan… - Cancers, 2024 - mdpi.com
Simple Summary In recent years, advances in deep learning have transformed the analysis
of medical imaging, especially in spine oncology. Computed Tomography (CT) imaging is …

Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances

S Lee, JY Jung, A Mahatthanatrakul, JS Kim - Neurospine, 2024 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) is transforming spinal imaging and patient care through automated
analysis and enhanced decision-making. This review presents a clinical task-based …

[HTML][HTML] Artificial intelligence in emergency neuroradiology: Current applications and perspectives

B Gong, F Khalvati, BB Ertl-Wagner… - … and Interventional Imaging, 2024 - Elsevier
Emergency neuroradiology provides rapid diagnostic decision-making and guidance for
management for a wide range of acute conditions involving the brain, head and neck, and …

[HTML][HTML] Applications of Artificial Intelligence and Machine Learning in Spine MRI

A Lee, W Ong, A Makmur, YH Ting, WC Tan, SWD Lim… - Bioengineering, 2024 - mdpi.com
Diagnostic imaging, particularly MRI, plays a key role in the evaluation of many spine
pathologies. Recent progress in artificial intelligence and its subset, machine learning, has …

Theranostics advances in the treatment and diagnosis of neurological and neurosurgical diseases

WA Awuah, A Ahluwalia, JK Tan, V Sanker… - Archives of Medical …, 2025 - Elsevier
Theranostics represents a significant advance in the fields of neurology and neurosurgery,
offering innovative approaches that combine the diagnosis and treatment of various …

[PDF][PDF] Diagnostic and Interventional Imaging

Emergency neuroradiology provides rapid diagnostic decision-making and guidance for
management for a wide range of acute conditions involving the brain, head and neck, and …