Artificial Intelligence- Oncology and Central Nervous System Tumour Detection

Abstract

In recent times, in this world of science and technology and recent advancements like machine learning and artificial intelligence, clinicians and medical science are supported with better treatment assistance, increased efficiency and improved methodology in the detection of even the rarest tumour in the human body. In the field of oncology, the help of AI has proved promising results. Diagnosing by imaging and detecting gliomas, its grading can be done easily and accurately. This article focuses on recent advances and technologies in the field of AI and CNS Brain tumour detection. Rare and difficult tumours hard to detect and identify can now be seen and classified with the help of these newer technologies. Pre Intra and post-operative strategies can be planned accurately and most precisely with the help of AI. It is a vast concept that helps enhance various human cognitive abilities in wide ranges.Deep Learning, one of the types of ML, has proved effective in automating many time-consuming steps, including lesion detection and segmentation. AI has several features such as detection and classification, tumour molecular properties, cancer-linked genetics, discoveries of various drugs, prediction of treatment, its outcomes as well as survival, and continued trends in personalized medicine in CNS tumours such as GBM with poor prognosis. Artificial Intelligence is a vast concept that helps enhance various human cognitive abilities in wide ranges. This review focuses on the recent advances in AI and its use in oncology, specifically in CNS, detection, and assessment planning of the underlying cause. Promises and challenges of the same are discussed below.