article · Neurology

A Comparative Study of Shallow and Deep Learning Models for Predicting Post-Operative Complications in Neurosurgical and Clinical Applications with Real-world Example (P1-2.007)

Ram Saha
Ahmed Negida
Ahmed Shaheen
Nour Shaheen
Basant Hamed
Mostafa Eltobgy

2025Alexandria University

Abstract

exploring the potential uses of LLM and SML models in predicting post-operative complications in patients with cervical spondylosis, and to compare the pros and cons of the two approaches in terms of accuracy, cost-effectiveness, and patient confidentiality and data security.

Research topics

Medical Imaging and Analysis
Radiomics and Machine Learning in Medical Imaging
Artificial Intelligence in Healthcare and Education

Sustainable Development Goals

Quality Education

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DOI: 10.1212/wnl.0000000000211130

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