Overview of the artificial intelligence roadmap: Future applications in brain research

Abstract

The use of artificial intelligence (AI) is an emerging technique in the early identification and categorisation of brain tumour. The currently used method, i.e., magnetic resonance image for the detection of tumour is a time–consuming and complex technique. In the newly developing technique using the AI, the magnetic resonance image scans are used as input data, whereas the currently used method reads the magnetic resonance image manually. The purpose of this article is that the use of novel technique seems very promising in the early detection of brain tumour with high sensitivity and specificity. In this article, two disciplines of AI – machine learning and deep learning are extensively discussed. Through the utilisation of AI techniques, the fields of medicine and health care have experienced remarkable advancements, still there is a shortage of knowledge on artificial–based methods for early tumour diagnosis and classification. In addition, the article discusses the future application of AI techniques in clinical studies.

Keywords

• artificial intelligence
• brain tumour
• conventional neural networks
• deep learning
• glioma
• machine learning
• magnetic resonance images
• support vector machine