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http://dx.doi.org/10.24225/kjai.2022.10.2.13

Analysis of the Status of Artificial Medical Intelligence Technology Based on Big Data  

KIM, Kyung-A (Department of Medical Artificial Intelligence, Eulji University)
CHUNG, Myung-Ae (Department of BigData Medical Convergence, Eulji University)
Publication Information
Korean Journal of Artificial Intelligence / v.10, no.2, 2022 , pp. 13-18 More about this Journal
Abstract
The role of artificial medical intelligence through medical big data has been focused on data-based medical device business and medical service technology development in the field of diagnostic examination of the patient's current condition, clinical decision support, and patient monitoring and management. Recently, with the 4th Industrial Revolution, the medical field changed the medical treatment paradigm from the method of treatment based on the knowledge and experience of doctors in the past to the form of receiving the help of high-precision medical intelligence based on medical data. In addition, due to the spread of non-face-to-face treatment due to the COVID-19 pandemic, it is expected that the era of telemedicine, in which patients will be treated by doctors at home rather than hospitals, will soon come. It can be said that artificial medical intelligence plays a big role at the center of this paradigm shift in prevention-centered treatment rather than treatment. Based on big data, this paper analyzes the current status of artificial intelligence technology for chronic disease patients, market trends, and domestic and foreign company trends to predict the expected effect and future development direction of artificial intelligence technology for chronic disease patients. In addition, it is intended to present the necessity of developing digital therapeutics that can provide various medical services to chronically ill patients and serve as medical support to clinicians.
Keywords
Big data; Medical artificial intelligence; Health cloud; On-site diagnosis inspection; Digital thraphy;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Bizwit Research & Consulting LLP (2022). Global Clinical Decision Support System Market Size Study, Forecast 2021- 2027, by Product, by Application, by Delivery Mode, by Component and by Regional Forecasts 2021-2027. Retrieved August 12, 2022, from https://www.kica.or.kr/file/download/c5e0999c-371f-4c72-a3a6-3170fc2185e3
2 Cho, S. A., & Kim, H. S. (2021). Healthcare Big Data-Based Artificial Intelligence Utilization Strategy. Hira Research, 1(2), 196-207.   DOI
3 Lee, S. B., Song. J. M., & Park, A. R. (2020). A Trend of Artificial Intelligence in the Healthcare. Journal of the Korea Contents Association, 20(5), 448-456.   DOI
4 Market and Market (2021). Global Artificial Intelligence in Healthcare Market. Global Artificial Intelligence in Healthcare Market Size, Trends & Growth Opportunity, By product (Natural and synthetic), By Application (industrial). Region and forecast till 2027. Retrieved June 20, 2022, from https://www.imarcgroup.com/artifical-intelligence-healthcare-market
5 Miller, D. D., & Brown, E. W. (2018) Artificial Intelligence in Medical Practice: Question to the Answer? The Journal of Medicine, 131(2),129-132   DOI
6 Rong, G., Mendez, A., Assi, E. B., Zhao, B., & Sawan, M. (2020). Artificial Intelligence in Healthcare: Review and Prediction Case Studies, Engineering, 6(1), 291-301.   DOI
7 Jeon, J. H., & Lee, K. C. (2019). Standardization Trends on Artificial Intelligence in Medicine. Electronics and Telecommunications Trends, 34(5), 113-126.   DOI
8 Market Insights Report (2021). Global and Chinese Healthcare Cloud Computing Market Size, Status and Forecast 2021-2027, July 2021. Retrieved August 30, 2022, from https://www.marketresearch.com/QYResearch-Group-v3531/Global-Debt-Collection-Software-Size-14725980/
9 Tat, E., Bhatt, D. L. & Rabbat, M. G. (2020). Artificial intelligence in cardiovascular medicine. THE LANCET Digital Health, 2(12), 635-636.
10 Lee, S. H., & Lee, D. W. (2013). Current Status of Big Data Utilization. The Society of Digital Policy & Management. 11(2), 229-233.
11 Kim, S. H. (2016). Medical IT Convergence Technology Research Trend. The magazine of the IEIE, 43(2), 18-24.   DOI
12 Frost & Sullivan (2021). Global In Vitro Diagnostics Market Forecast. Personalized Diagnostics and Increased Healthcare Investment to Drive Market Growth Post COVID-19 Pandemic, Molecular Diagnostics, Tissue Diagnostics, Point-of-Care-Testing, In Vitro Diagnostics Markets in Europe, Asia-Pacific, North America. Retrieved August 10, 2022, from https://store.frost.com/global-in-vitro-diagnostics-market-outlook-2021.html.
13 Jiang, F., Jiang, Y., Zhi, H., Dong, Y. Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stoke and Vascular Neurology, 2(4), 230-243.   DOI
14 Kim, K. B., & Han, K. H. (2020). A Study of the Digital Healthcare Industry in the Fourth Industrial Revolution. Journal of Convergence for Information Technology, 10(3), 7-15.   DOI
15 Markets and Markets (2020). Clinical Decision Support System/CDSS Components (Services, Software), Delivery Modes, Products, Applications, Models (Knowledge Base), Types (Treatment, Diagnostics), Interactions (Active, Passive), Patient Market Care Settings by Star-Global Forecasts to 2025. Retrieved June 30, 2022, from https://www.giikorea.co.kr/report/mama1101573-clinical-decision-support-systems-cdss-market-by.html
16 Manne, R. M., & Kantheti, S. C. (2021). Application of Artificial Intelligence in Healthcare: Chances and Challenges. Current Journal of Applied Science and Technology, 40(6), 78-89.   DOI
17 Malik, P., Pathania, M., & Rathaur, V. K. (2019) Overview of artificial intelligence in medicine. Journal of Family Medicine and Primary Care, 8(7), 2328-2331.   DOI
18 TechNavio (2022). Global Artificial Intelligence (AI) Market in Healthcare Sector 2022-2026. Medical Imaging and Diagnostics, Drug Discovery, Virtual Assistants, Operations Management in North America, Europe, APAC, South America, Middle East and Africa, AI Market Sizing, AI Market Forecast, AI Market Industry Analysis. Retrieved August 25, 2022, https://www.researchandmarkets.com/s/technavio?gclid=EAIaIQobChMItfm96Sb_AIVm8IWBR060gB0EAAYASAAEgK3e_D_BwE
19 Park, K. R., Sahay, S., Braa, J., & Amarakoon, P. (2021). Digital Resilience for WHAT? Case Study of South Korea. 1st Virtual Conference on Implications of Information and Digital Technologies for Development. 139-153. Retrieved August 30, 2022, from https://arxiv.org/ftp/arxiv/papers/2108/2108.09950.pdf
20 Stead, W. W. (2018). Clinical Implications and Cgallenges of Artificial Intelligence and Deep Learning. JAMA, 320(11), 1107-1108.   DOI