The role of artificial intelligence in healthcare: a structured literature review

 

The position of synthetic intelligence in healthcare: a structured literature overview

BMC Medical Informatics and Pronouncement Making volume 21, Article variety: one hundred twenty five (2021) Cite this newsletter

Abstract

Background/Introduction

Artificial intelligence (AI) within the healthcare area is receiving attention from researchers and health specialists. Few preceding studies have investigated this subject matter from a multi-disciplinary perspective, together with accounting, business and management, selection sciences and health professions.

Methods

The established literature review with its reliable and replicable studies protocol permitted the researchers to extract 288 peer-reviewed identifications from Scopus. The playwrights used qualitative and quantitative variables to examine authors, journals, key phrases, and collaboration networks among researchers. Additionally, the paper advanced from the Bibliometrix R software program bundle. @ Read More stylebeautyonline 

Results

The investigation confirmed that the literature on this discipline is rising. It specializes in health offerings management, predictive medicinal drug, affected person records and diagnostics, and medical selection-making. The United States, China, and the United Territory contributed the highest variety of studies. Keyword analysis discovered that AI can support physicians in creating a diagnosis, predicting the unfold of illnesses and customising remedy paths.

Conclusions

The literature famous numerous AI programs for health offerings and a circulation of studies that has no longer fully been blanketed. For example, AI initiatives require skills and facts great attention for statistics-in depth evaluation and information-primarily based management. Insights can help researchers and fitness professionals understand and cope with future research on AI in the healthcare discipline. @ Read More blissinformation 

Background

Artificial intelligence (AI) commonly applies to computational technologies that emulate mechanisms assisted through human intelligence, which include thought, deep gaining knowledge of, model, engagement, and sensory expertise [1, 2]. Some devices can execute a function that normally includes human interpretation and selection-making [3, 4]. These techniques have an interdisciplinary method and may be carried out to one of a kind fields, inclusive of remedy and health. AI has been involved in medication given that as early as the Nineteen Fifties, when physicians made the first challenges to improve their diagnoses the usage of laptop-aided applications [5, 6]. Interest and advances in clinical AI programs have surged in latest years because of the substantially superior computing electricity of modern computer systems and the sizable amount of virtual statistics to be had for series and utilisation . AI is step by step converting scientific practice. There are several AI submissions in medicine that can be used in a ramification of medical fields, which includes clinical, diagnostic, rehabilitative, surgical, and predictive practices. Another essential region of drugs where AI is making an impact is medical choice-making and sickness prognosis. AI technologies can ingest, examine, and report large volumes of data across specific modalities to detect disease and manual medical decisions [3, 8]. AI programs can cope with the huge quantity of information produced in medicinal drug and locate new facts that might otherwise remain hidden in the mass of clinical huge information [9,10,11]. These technologies also can perceive new drugs for health offerings control and patient care treatments [5, 6].

Courage inside the software of AI is seen via a seek in the number one studies databases. However, as Meskò et al. Discover, the generation will potentially reduce care expenses and repetitive operations by using focusing the medical career on crucial thinking and medical creativity. As Cho et al. In addition Doyle et al. [8, 9] add, the AI attitude is thrilling; however, new research might be had to set up the efficacy and applications of AI inside the clinical field .

Our paper may even focus on AI techniques for healthcare from the accounting, business, and control views. The authors used the based literature review (SLR) approach for its reliable and replicable research protocol and decided on bibliometric variables as resources of investigation. Bibliometric usage allows the recognition of the principle quantitative variables of the have a look at circulate . This method facilitates the detection of the required information of a selected research challenge, which includes field authors, quantity of courses, keywords for interplay between variables (guidelines, houses and governance) and u . S . A . Records . It also allows the software of the technology mapping technique . Our paper followed the Bibliometrix R bundle and the biblioshiny web interface as equipment of evaluation .

The research offers the following insights for destiny researchers and practitioners:

bibliometric records on 288 peer-reviewed English papers from the Scopus collection.

Identification of leading journals on this discipline, consisting of Journal of Medical Systems, Studies in Health Technology and Informatics, IEEE Monthly of Biomedical and Health Informatics, and Decision Support Systems.

Qualitative and quantitative records on authors’ Lotka’s law, h-index, g-index, m-index, keyword, and citation data.

Research on specific nation state to assess AI in the shipping and effectiveness of healthcare, quotes, and networks inside each place.

A subject matter dendrogram take a look at that identifies 5 research clusters: health offerings management, predictive medication, affected person records, diagnostics, and eventually, clinical selection-making. @ Read More attractioner 

An in-depth dialogue that develops theoretical and sensible implications for future research.

The paper is organised as follows. Section 2 lists the principle bibliometric articles in this area. Section three elaborates on the method. Section four presents the findings of the bibliometric analysis. Section five discusses the principle elements of AI in healthcare based at the have a look at outcomes. Section 6 concludes the thing with future implications for studies.

Related works and originality

As advised by means of Zupic and Čater , a research circulate can be evaluated with bibliometric strategies that can introduce objectivity and mitigate researcher bias. For this reason, bibliometric techniques are attracting growing interest amongst researchers as a dependable and impersonal studies analytical approach [16, 17]. Recently, bibliometrics has been an important approach for analysing and predicting studies tendencies . Table 1 lists different research that has used a similar method within the research movement investigated.

The medical articles suggested display sizeable differences in keywords and research topics that have been formerly studied. The bibliometric analysis of Huang et al. Describes rehabilitative medication using virtual truth era. According to the authors, the number one goal of rehabilitation is to enhance and restore purposeful capacity and high-quality of life for patients with physical impairments or disabilities. In latest years, many healthcare disciplines were privileged to get admission to numerous technology that provide gear for each research and scientific intervention. @ Read More lureblog  

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