Artificial intelligence in medical Imaging: An analysis of innovative technique and its future promise. (2022)

• Record Type: Journal Article
• Authors: Asha, P.; Srivani, P.; iqbaldoewes, Rumi; Al Ayub Ahmed, Alim; Kolhe, Abhay; Nomani, M.Z.M.
• Is Part Of: Materials today. Volume 56:Part 4(2022)
• Page Start: 2236
• Page End: 2239
• Publication Date: 2022
• Subjects: Neurological detection -- Cardiovascular -- Qualitative analysis -- Statistical analysis -- Musculoskeletal; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.11.558
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Artificial Intelligence has captivated the medical industry as this innovative strategic analytic has become accurate and widely applicable to various tasks in the healthcare industry. It is increasingly supporting discovering the hidden insights into medical decision-making and also helping to connect the resources with the patients for better management and extracting the benefits from prior inaccessible data assets. Data of medical imaging is the richest source of various information of the patients which often seems most complex to analyze. With huge data of MRI, CAT scans, X-rays or other testing components, it is extremely challenging to combine the high-resolution images even for the highly experienced medical professionals. Here, the research article about the use in medical imaging has explored the multidimensional innovative approach of AI that may create vibrant opportunities in the future. Analyzing through the current best use it illustrates the reason why it should be applicable in the medical field. The application of AI in detecting the neurological diseases, fracture, cancer or musculoskeletal are further explained in this study. Moreover, the article has explored the advantages and disadvantages of AI application in the medical field. The Qualitative and statistical analysis of the secondary data has emerged useful in analyzing these unique factors about the role of AI in medical imaging. Though there is huge assertion about the accuracy of AI in medical field, it is also criticized by many scholars. In Spite of the criticism, the future scope of AI application in medical industry is significantly high.