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A Bibliometric Analysis on the Role of Artificial Intelligence in Healthcare

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Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1024))

Abstract

The rapid growth of artificial intelligence (AI) has reached unprecedented levels across different fields. In this bibliometric analysis, we reviewed 1999 studies published between 2011 and 2021 on the role of AI applications in facilitating healthcare services. This review aims to shed light on the scientific achievements of AI in healthcare through examining the research focus of existing studies, major diseases, major AI tasks and applications, most productive authors and countries, and most common journals in the domain. The results showed that the extant literature has focused on four distinct clusters, including the theory and process behind machine learning, deep learning algorithms, experiments and results, and COVID-19 related issues. The results indicated that COVID-19, pneumonia, different cancer types, neurodegenerative diseases, and diabetes are the major diseases that received careful attention from AI applications. The results also indicated that image processing and diagnostic imaging were the most common tasks, while deep learning techniques were the most common applications of AI in healthcare. The taxonomy of the analyzed literature would be helpful for practitioners, researchers, and decision-makers working in healthcare sectors to advance the wheel of medical informatics. It can be argued that the door is still open for improving the role of AI in healthcare, whether in its theoretical (e.g., models and algorithms) or physical (e.g., surgical robots) form.

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Acknowledgements

This work is a part of students’ project submitted to The British University in Dubai.

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Authors and Affiliations

  1. Faculty of Engineering and IT, The British University in Dubai, Dubai, UAE

    Faisal Suhail, Mouhand Adel, Mostafa Al-Emran & Khaled Shaalan

Authors
  1. Faisal Suhail
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  2. Mouhand Adel
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  3. Mostafa Al-Emran
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  4. Khaled Shaalan
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Corresponding author

Correspondence to Mostafa Al-Emran .

Editor information

Editors and Affiliations

  1. Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Sushruta Mishra

  2. Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Hrudaya Kumar Tripathy

  3. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Pradeep Mallick

  4. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

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Suhail, F., Adel, M., Al-Emran, M., Shaalan, K. (2022). A Bibliometric Analysis on the Role of Artificial Intelligence in Healthcare. In: Mishra, S., Tripathy, H.K., Mallick, P., Shaalan, K. (eds) Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. Studies in Computational Intelligence, vol 1024. Springer, Singapore. https://doi.org/10.1007/978-981-19-1076-0_1

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