Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions
Objective: The presence of artificial intelligence (AI) in healthcare is a powerful and game-changing force that is completely transforming the industry as a whole. Using sophisticated algorithms and data analytics, AI has unparalleled prospects for improving patient care, streamlining operational e...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-09-01
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| Series: | Future Healthcare Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2514664524015728 |
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| author | Renganathan Senthil Thirunavukarasou Anand Chaitanya Sree Somala Konda Mani Saravanan |
| author_facet | Renganathan Senthil Thirunavukarasou Anand Chaitanya Sree Somala Konda Mani Saravanan |
| author_sort | Renganathan Senthil |
| collection | DOAJ |
| description | Objective: The presence of artificial intelligence (AI) in healthcare is a powerful and game-changing force that is completely transforming the industry as a whole. Using sophisticated algorithms and data analytics, AI has unparalleled prospects for improving patient care, streamlining operational efficiency, and fostering innovation across the healthcare ecosystem. This study conducts a comprehensive bibliometric analysis of research on AI in healthcare, utilising the SCOPUS database as the primary data source. Methods: Preliminary findings from 2013 identified 153 publications on AI and healthcare. Between 2019 and 2023, the number of publications increased exponentially, indicating significant growth and development in the field. The analysis employs various bibliometric indicators to assess research production performance, science mapping techniques, and thematic mapping analysis. Results: The study reveals insights into research hotspots, thematic focus, and emerging trends in AI and healthcare research. Based on an extensive examination of the Scopus database provides a brief overview and suggests potential avenues for further investigation. Conclusion: This article provides valuable contributions to understanding the current landscape of AI in healthcare, offering insights for future research directions and informing strategic decision making in the field. |
| format | Article |
| id | doaj-art-3ba94813024d4a608ef3152e4a3ed3e5 |
| institution | Kabale University |
| issn | 2514-6645 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Future Healthcare Journal |
| spelling | doaj-art-3ba94813024d4a608ef3152e4a3ed3e52024-11-21T06:05:04ZengElsevierFuture Healthcare Journal2514-66452024-09-01113100182Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directionsRenganathan Senthil0Thirunavukarasou Anand1Chaitanya Sree Somala2Konda Mani Saravanan3Department of Bioinformatics, School of Lifesciences, Vels Institute of Science Technology and Advanced Studies (VISTAS), Pallavaram, Chennai 600117, Tamil Nadu, IndiaSRIIC Lab, Faculty of Clinical Research, Sri Ramachandra Institute of Higher Education and Research, Chennai 600116, Tamil Nadu, India; B Aatral Biosciences Private Limited, Bangalore 560091, Karnataka, IndiaB Aatral Biosciences Private Limited, Bangalore 560091, Karnataka, IndiaB Aatral Biosciences Private Limited, Bangalore 560091, Karnataka, India; Department of Biotechnology, Bharath Institute of Higher Education and Research, Chennai 600073, Tamil Nadu, India; Corresponding author.Objective: The presence of artificial intelligence (AI) in healthcare is a powerful and game-changing force that is completely transforming the industry as a whole. Using sophisticated algorithms and data analytics, AI has unparalleled prospects for improving patient care, streamlining operational efficiency, and fostering innovation across the healthcare ecosystem. This study conducts a comprehensive bibliometric analysis of research on AI in healthcare, utilising the SCOPUS database as the primary data source. Methods: Preliminary findings from 2013 identified 153 publications on AI and healthcare. Between 2019 and 2023, the number of publications increased exponentially, indicating significant growth and development in the field. The analysis employs various bibliometric indicators to assess research production performance, science mapping techniques, and thematic mapping analysis. Results: The study reveals insights into research hotspots, thematic focus, and emerging trends in AI and healthcare research. Based on an extensive examination of the Scopus database provides a brief overview and suggests potential avenues for further investigation. Conclusion: This article provides valuable contributions to understanding the current landscape of AI in healthcare, offering insights for future research directions and informing strategic decision making in the field.http://www.sciencedirect.com/science/article/pii/S2514664524015728Bibliometric analysisArtificial intelligenceCOVID-19Scientific productionEmerging trends |
| spellingShingle | Renganathan Senthil Thirunavukarasou Anand Chaitanya Sree Somala Konda Mani Saravanan Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions Future Healthcare Journal Bibliometric analysis Artificial intelligence COVID-19 Scientific production Emerging trends |
| title | Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions |
| title_full | Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions |
| title_fullStr | Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions |
| title_full_unstemmed | Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions |
| title_short | Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions |
| title_sort | bibliometric analysis of artificial intelligence in healthcare research trends and future directions |
| topic | Bibliometric analysis Artificial intelligence COVID-19 Scientific production Emerging trends |
| url | http://www.sciencedirect.com/science/article/pii/S2514664524015728 |
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