Patel Jigneshkumar L, Goyal Ramesh K
VIBGYOR Scientific Research Pvt. Ltd., Ahmedabad, India.
Curr Clin Pharmacol. 2007 Sep;2(3):217-26. doi: 10.2174/157488407781668811.
Computer technology has been advanced tremendously and the interest has been increased for the potential use of 'Artificial Intelligence (AI)' in medicine and biological research. One of the most interesting and extensively studied branches of AI is the 'Artificial Neural Networks (ANNs)'. Basically, ANNs are the mathematical algorithms, generated by computers. ANNs learn from standard data and capture the knowledge contained in the data. Trained ANNs approach the functionality of small biological neural cluster in a very fundamental manner. They are the digitized model of biological brain and can detect complex nonlinear relationships between dependent as well as independent variables in a data where human brain may fail to detect. Nowadays, ANNs are widely used for medical applications in various disciplines of medicine especially in cardiology. ANNs have been extensively applied in diagnosis, electronic signal analysis, medical image analysis and radiology. ANNs have been used by many authors for modeling in medicine and clinical research. Applications of ANNs are increasing in pharmacoepidemiology and medical data mining. In this paper, authors have summarized various applications of ANNs in medical science.
计算机技术已经取得了巨大的进步，人们对“人工智能（AI）”在医学和生物学研究中的潜在应用兴趣也日益增加。人工智能最有趣且研究最广泛的分支之一是“人工神经网络（ANNs）”。基本上，人工神经网络是由计算机生成的数学算法。人工神经网络从标准数据中学习并获取数据中包含的知识。经过训练的人工神经网络以一种非常基本的方式接近小型生物神经簇的功能。它们是生物大脑的数字化模型，能够在人类大脑可能无法检测到的数据中检测因变量和自变量之间复杂的非线性关系。如今，人工神经网络广泛应用于医学各学科的医疗应用中，尤其是在心脏病学领域。人工神经网络已广泛应用于诊断、电子信号分析、医学图像分析和放射学。许多作者已将人工神经网络用于医学建模和临床研究。人工神经网络在药物流行病学和医学数据挖掘中的应用正在增加。在本文中，作者总结了人工神经网络在医学科学中的各种应用。
