Godil Saniya Siraj, Shamim Muhammad Shahzad, Enam Syed Ather, Qidwai Uvais
Faculty of Health Sciences, Medical College, Aga Khan University, Karachi, Pakistan.
Surg Neurol Int. 2011 Feb 26;2:24. doi: 10.4103/2152-7806.77177.
Fuzzy 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.
This review focuses on the use of this concept in various branches of neurosciences including basic neuroscience, neurology, neurosurgery, psychiatry and psychology.
The 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.
In the future, fuzzy logic has the potential of becoming the basis of all clinical decision making and our understanding of neurosciences.
模糊逻辑是一种多值逻辑，类似于人类的思维和解释方式。它有潜力将人类启发式方法融入计算机辅助决策中，由于考虑到个体的所有因素和复杂性，这种方法适用于个体患者。模糊逻辑已以某种形式应用于医学的各个学科，最近其在神经科学中的适用性也得到了发展。
本综述重点关注这一概念在神经科学各个分支中的应用，包括基础神经科学、神经病学、神经外科、精神病学和心理学。
模糊逻辑的适用性不仅限于与神经解剖学、成像神经纤维和理解神经生理学相关的研究，它还是解释脑电图、肌电图和磁共振成像的灵敏且特异的工具，以及重症监护病房中的有效控制设备。它已被用于中风的风险分层、不同精神疾病的诊断，甚至神经外科手术规划。
未来，模糊逻辑有可能成为所有临床决策以及我们对神经科学理解的基础。
