ArticleSurgical neurology international2011
Fuzzy logic: A "simple" solution for complexities in neurosciences?
Article in Surgical neurology international, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 76 citations in OpenAlex.
- Hybrid model based on fuzzy logic and classification trees for the prediction of mortality of critical trauma patients: Pre-hospital variables from the RETRAUCI registry.BMC medical research methodology · 2026Article
- Highly Cited Artificial Intelligence Research Studies Published in Neurosurgical Journals: A Bibliometric Analysis.Cureus · 2025Review
- Clinical, legal and ethical implications of coercion and compulsory treatment in eating disorders: do rapid review findings identify clear answers or more muddy waters?Journal of eating disorders · 2024Review
- Review
- Diagnosis of Peritoneal Carcinomatosis of Colorectal Origin Based on an Innovative Fuzzy Logic Approach.Diagnostics (Basel, Switzerland) · 2022Article
- A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification.Sensors (Basel, Switzerland) · 2020Article
- Intelligent Computer Systems for Multiple Sclerosis Diagnosis: a Systematic Review of Reasoning Techniques and Methods.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2018Article
- Computerized Decision Support System for Traumatic Brain Injury Management.Journal of pediatric intensive care · 2016Review
- Essentials of research methods in neurosurgery and allied sciences for research, appraisal and application of scientific information to patient care (Part I).Neurosciences (Riyadh, Saudi Arabia) · 2016Article
- Profitability analysis of a femtosecond laser system for cataract surgery using a fuzzy logic approach.International journal of ophthalmology · 2016Article
- A clinical decision support system with an integrated EMR for diagnosis of peripheral neuropathy.Journal of medical systems · 2014Article
- A novel Fuzzy Expert System for the identification of severity of carpal tunnel syndrome.BioMed research international · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFuzzy logic is a multi-valued logic which is similar to human thinking and interpretation. It has the potential of combining human heuristics into computer-assisted decision making, which is applicable to individual patients as it takes into account all the factors and complexities of individuals. Fuzzy logic has been applied in all disciplines of medicine in some form and recently its applicability in neurosciences has also gained momentum.
methodsThis review focuses on the use of this concept in various branches of neurosciences including basic neuroscience, neurology, neurosurgery, psychiatry and psychology.
resultsThe applicability of fuzzy logic is not limited to research related to neuroanatomy, imaging nerve fibers and understanding neurophysiology, but it is also a sensitive and specific tool for interpretation of EEGs, EMGs and MRIs and an effective controller device in intensive care units. It has been used for risk stratification of stroke, diagnosis of different psychiatric illnesses and even planning neurosurgical procedures.
conclusionsIn the future, fuzzy logic has the potential of becoming the basis of all clinical decision making and our understanding of neurosciences.
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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.