ReviewSensors (Basel, Switzerland)2025
Decision Support Systems in Neurosurgery: Current Applications and Future Directions.
Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Artificial Intelligence for STN-DBS Surgical Planning in Parkinson's Disease: A Multicenter Study Comparing Conventional Targeting Versus Supervised Statistical Machine Learning.Brain sciences · 2026Article
- Exploring Artificial Intelligence in Orthopedic Surgery: A Review of Perception, Decision, and Execution Systems.Sensors (Basel, Switzerland) · 2026Review
- Giant Right Sphenoid Wing Meningioma as a Reversible Frontal Network Lesion: A Pseudo-bvFTD Case with Venous-Sparing Skull-Base Resection.Diagnostics (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is one of the fastest-developing research fields. Its methods are applied with great success to various problems across many industries. Healthcare is one of them, with AI applied to organizational problems, textual data analysis, and treatment decision support systems used for diagnosis and treatment. This paper reviews current AI methods in neurosurgery settings, discussing the potential use of decision support systems. As neurosurgery is highly technical and requires millimeter-precise guidance, AI systems can provide significant benefits in helping neurosurgeons navigate the surgical field. For example, AI-assisted neuronavigation during deep brain stimulation (DBS) surgeries shortens the length of the procedure and significantly reduces the risk of electrode misplacement, and the need for future costly re-operation. We do not limit our review to existing methods, as we also discuss possible future directions for such systems. When developing such methods, special emphasis must be put on precision, usability, security, and explainability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.