Influential Usage of Big Data and Artificial Intelligence in Healthcare

Yang, Yan Cheng; Islam, Saad Ul; Noor, Asra; Khan, Sadia; Afsar, Waseem; Nazir, Shah

doi:10.1155/2021/5812499

Cited by 44 publications

(26 citation statements)

References 75 publications

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“…Third, few studies reported the cost and infrastructure of telecardiology, which represents an important issue in rural practice. Lastly, while newer technologies, such as artificial intelligence (AI) that is implied to improve medical practice [ 39 ], may be already introduced to rural practice, we could not find such a paper on the telecardiology combined with AI in rural practice. This is a limitation in the review based on the previously published literature.…”

Section: Discussionmentioning

confidence: 99%

Telecardiology in Rural Practice: Global Trends

Yamano

Kotani

Kitano

et al. 2022

IJERPH

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The management of cardiovascular diseases in rural areas is plagued by the limited access of rural residents to medical facilities and specialists. The development of telecardiology using information and communication technology may overcome such limitation. To shed light on the global trend of telecardiology, we summarized the available literature on rural telecardiology. Using PubMed databases, we conducted a literature review of articles published from January 2010 to December 2020. The contents and focus of each paper were then classified. Our search yielded nineteen original papers from various countries: nine in Asia, seven in Europe, two in North America, and one in Africa. The papers were divided into classified fields as follows: seven in tele-consultation, four in the telemedical system, four in the monitoring system, two in prehospital triage, and two in tele-training. Six of the seven tele-consultation papers reported the consultation from rural doctors to urban specialists. More reports of tele-consultations might be a characteristic of telecardiology specific to rural practice. Further work is necessary to clarify the improvement of cardiovascular outcomes for rural residents.

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Section: Discussionmentioning

confidence: 99%

Telecardiology in Rural Practice: Global Trends

Yamano

Kotani

Kitano

et al. 2022

IJERPH

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“…Yang et al 27 conducted a literature review on AI and big data applications in health care. The authors collected articles on different machine-learning algorithms to process big data regarding patient care.…”

Section: Background and Related Workmentioning

confidence: 99%

Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector

et al. 2023

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Artificial Intelligent (AI) applications in e-health have evolved considerably in the last 25 years. To track the current research progress in this field, there is a need to analyze the most recent trend of adopting AI applications in e-health. This bibliometric analysis study covers AI applications in e-health. It differs from the existing literature review as the journal articles are obtained from the Scopus database from its beginning to late 2021 (25 years), which depicts the most recent trend of AI in e-health. The bibliometric analysis is employed to find the statistical and quantitative analysis of available literature of a specific field of study for a particular period. An extensive global literature review is performed to identify the significant research area, authors, or their relationship through published articles. It also provides the researchers with an overview of the work evolution of specific research fields. The study's main contribution highlights the essential authors, journals, institutes, keywords, and states in developing the AI field in e-health.

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“…Big data and AI have long since reached medicine ( Yang et al, 2021 ). This is no more than a truism.…”

Section: E-health In Preventive Health Care In General and In Pediatr...mentioning

confidence: 99%

Ethical Implications of e-Health Applications in Early Preventive Healthcare

Stake

Heinrichs²

2022

Front. Genet.

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As a means of preventive medicine early detection and prevention examinations can identify and treat possible health disorders or abnormalities from an early age onwards. However, pediatric examinations are often widely spaced, and thus only snapshots of the children’s and adolescents’ developments are obtained. With e-health applications parents and adolescents could record developmental parameters much more frequently and regularly and transmit data directly for ongoing evaluation. AI technologies could be used to search for new and previously unknown patterns. Although e-health applications could improve preventive healthcare, there are serious concerns about the unlimited use of big data in medicine. Such concerns range from general skepticism about big data in medicine to specific challenges and risks in certain medical areas. In this paper, we will focus on preventive health care in pediatrics and explore ethical implications of e-health applications. Specifically, we will address opportunities and risks of app-based data collection and AI-based data evaluation for complementing established early detection and prevention examinations. To this end, we will explore the principle of the best interest of the child. Furthermore, we shall argue that difficult trade-offs need to be made between group benefit on the one hand and individual autonomy and privacy on the other.

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Influential Usage of Big Data and Artificial Intelligence in Healthcare

Cited by 44 publications

References 75 publications

Telecardiology in Rural Practice: Global Trends

Telecardiology in Rural Practice: Global Trends

Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector

Ethical Implications of e-Health Applications in Early Preventive Healthcare

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