Advancements in Neuroradiology via Artificial Intelligence and Machine Learning
Journal Title: International Journal of Bioinformatics and Intelligent Computing - Year 2022, Vol 1, Issue 2
Abstract
Neuroradiology is significantly showing the broad impact in field of Artificial intelligence research and also in Machine learning. Neuro-radiology includes methods such as neuro-imaging which simply diagnose and characterize disorders of the CNS and PNS. Artificial Intelligence (AI) is one of the main attribute in the field of computer science generally focusing on creating "algorithms" which can be used to solve any arbitrary desired problem. AI has several applications in the field of Neuroradiolody and one of the most common and influencing application is machine learning. Machine learning is a data science approach that allows computers to learn without being programmed with specific rules. Some of the factors which shows neuroradiological impact on AI research are; (a) neuroimaging comprising rich, multicontrast, multidimensional, and multimodality data which fit themselves well to machine learning tasks; (b) consideration of well-established neuroimaging public datasets of various neural diseases such as Alzheimer disease, Parkinson disease, tumors, different forms of sclerosis etc. (c) quantitative neuroimaging research history which proves clinical practices. Another major application is Deep learning which is useful in management of information content of digital pictures that a human reader can only identify and use partially. Except this various limitations also come in the picture such as adoption in neuroradiology practice etc. Till now several research has been done which connects the concepts of Neuroradiology and Artificial intelligence and yet more to be done so as to overcome the limitations of AI in Neuroradiology.
Authors and Affiliations
Sneha Tripathi, Mansi Jha
Keywords
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- EP ID EP724398
- DOI https://doi.org/10.61797/ijbic.v1i2.159
- Views 65
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