Neurological Surgery: Clinical Advances and AI-Driven Innovations
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Neurology".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 26
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial intelligence is rapidly moving from proof-of-concept to clinical utility across neurosurgery. This Special Issue will gather rigorous, clinically grounded studies that demonstrate how AI can improve decision-making, operative planning, intraoperative guidance, postoperative care, and health-system workflow. We seek work that goes beyond model accuracy to address generalizability, calibration, interpretability, and prospective validation on diverse populations. Submissions using imaging, surgical video, and physiologic monitoring are welcome, as are studies on automation of triage and outcome prediction. We are particularly interested in reproducible pipelines, multi-institution collaborations, open datasets and code, and human-in-the-loop designs that keep clinicians central to the process. Our aim is to curate practical evidence, transparent methods, and clear pathways to implementation that shorten the distance between promising algorithms and measurable benefits for patients.
Dr. Ali A. Alattar
Guest Editor
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Keywords
- neurosurgery
- artificial intelligence
- machine learning
- deep learning
- radiomics
- image segmentation
- surgical video analytics
- navigation and robotics
- predictive modeling
- clinical decision support
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