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Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health

Year 2024, Volume: 77 Issue: 1, 13 - 19, 28.03.2024

Murat Kavruk

https://doi.org/10.4274/atfm.galenos.2023.24855

Abstract

Objectives: The aim of this study is to assess the research and innovation status of artificial intelligence (AI) in health sciences with a special focus on different application areas in health sciences and start-ups companies.

Materials and Methods: Here in, two different datasets were used for analysis. The Web of Science database was analyzed to examine the scientific and technological knowledge production of AI technology in the health sector in general and in predetermined application areas. Secondly, the database of the technological investment portal dealroom.co, which includes innovative start-up organizations that produce AI-based solutions in the field of digital therapeutics and healthtech, was investigated.

Results: In terms of contribution to AI-related literature, the USA and China lead in AI-focused publications, while Germany (22.2%) and the USA(21%) have the most health-specific coverage. Italy, Canada and the England follow these countries respectively (13.8%). Türkiye’s rate was found to be 10.1%. On the other hand, the United Kingdom (n=24) and Israel (n=21) stand out in terms of AI-powered start-ups in the health sector. Türkiye stands in the top ten countries distributing to AI-powered health science research but has no companies in the same field
.
Conclusion: AI in healthcare is on the rise, driven by increased research and applications, especially during the coronavirus disease-2019 pandemic.Some health subtopics remain underexplored, but start-ups are making promising strides. Wider AI adoption in healthcare is expected as financial and regulatory challenges are addressed.

Keywords

Artificial Intelligence (AI) healthcare sector healthcare research

Ethical Statement

No need for ethics committee approval in this study.

Supporting Institution

-

Project Number

-

Thanks

-

References

  • 1. Gregersen E. History of Technology Timeline | Britannica [Internet]. 2019 [cited 2023 Aug 26]. Available from: https://www.britannica.com/story/ history-of-technology-timeline
  • 2. Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2:719-731.
  • 3. Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. In: Artificial Intelligence in Healthcare. Elsevier. 2020;25-60.
  • 4. Bhattad PB, Jain V. Artificial Intelligence in Modern Medicine – The Evolving Necessity of the Present and Role in Transforming the Future of Medical Care. 2020;12.
  • 5. Mann DL. Artificial Intelligence Discusses the Role of Artificial Intelligence in Translational Medicine: A JACC: Basic to Translational Science Interview With ChatGPT. JACC Basic Transl Sci. 2023;8:221-223.
  • 6. Stewart C. AI in healthcare - statistics & facts. Statista. 2023.
  • 7. Clarivate. Document search - Web of Science Core Collection. 2023. Available from: https://www.webofscience.com/wos/woscc/basic-search
  • 8. Dealroom. Artificial intelligence list | Dealroom.co. 2023. https://app. dealroom.co/lists/10386
  • 9. Clarivate. Citation Topics. 2021. https://incites.help.clarivate.com/Content/ Research-Areas/citation-topics.htm
  • 10. Google. FAQ about Google Trends data - Trends Help [Internet]. 2023 [cited 2023 Aug 26]. Available from: https://support.google. c o m / t r e n d s / a n s w e r / 4 3 6 5 5 3 3 ? h l = e n & r e f _ t o p i c = 6 2 4 8 0 5 2 & s j id=6897574708492239557-EU
  • 11. IBM. Time Series Modeler - IBM Documentation [Internet]. 2023 [cited 2023 Aug 26]. Available from: https://www.ibm.com/docs/en/spss-statistics/29.0. 0 topic=forecasting-time-series-modeler
  • 12. Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21:125.
  • 13. Müller S. The top VC investors in healthtech | Dealroom.co [Internet]. 2023 [cited 2023 Jul 14]. Available from: https://dealroom.co/blog/the-top-vcinvestors- in-healthtech

Sağlık Alanında Yapay Zeka Araştırma ve İnovasyonunun Tanımlayıcı ve Öngörücü Analizi

Year 2024, Volume: 77 Issue: 1, 13 - 19, 28.03.2024

Murat Kavruk

https://doi.org/10.4274/atfm.galenos.2023.24855

Abstract

Amaç: Bu çalışmanın amacı, sağlık bilimlerinde ve start-up şirketlerinde farklı uygulama alanlarına odaklanarak sağlık bilimlerinde yapay zekanın (AI) araştırma ve yenilik durumunu değerlendirmektir.

Gereç ve Yöntem: Bu çalışmada analiz için iki farklı veri seti kullanılmıştır. AI teknolojisinin genel olarak sağlık sektöründe ve önceden belirlenen uygulama alanlarında bilimsel ve teknolojik bilgi üretimini incelemek amacıyla Web of Science veri tabanı analiz edildi. Ardından, dijital tedavi ve sağlık teknolojileri alanında AI tabanlı çözümler üreten yenilikçi start-up organizasyonlarının yer aldığı teknolojik yatırım portalı dealroom.co’nun veri tabanı analiz edildi.

Bulgular: AI ile ilgili literatüre katkı açısından, AI odaklı yayınlarda ABD ve Çin başı çekerken, sağlığa özel yayınlarda en fazla Almanya (%22,2) ve ABD (%21) yer alıyor. Bu ülkeleri sırasıyla İtalya, Kanada ve İngiltere (%13,8) takip etmektedir. Türkiye’de ise bu oran %10,1 olarak belirlendi.Öte yandan sağlık sektöründe AI destekli start-up’lar açısından Birleşik Krallık (n=24) ve İsrail (n=21) öne çıkıyor. Türkiye, AI destekli sağlık bilimi araştırmalarını paylaşan ilk on ülke arasında yer alıyor ancak aynı alanda şirketi bulunmuyor.

Sonuç: Sağlık hizmetlerinde AI, özellikle koronavirüs hastalığı-2019 salgını sırasında artan araştırma ve uygulamaların etkisiyle artıyor. Bazı sağlık alt konuları hala yeterince araştırılmıyor ancak start-up’lar umut verici ilerlemeler kaydediyor. Finansal ve mevzuatla ilgili zorluklar çözüldükçe sağlık hizmetlerinde AI’nın daha geniş çapta benimsenmesi bekleniyor.

Keywords

Yapay Zeka (AI) sağlık sektörü sağlık araştırmaları

Ethical Statement

No need for ethics committee approval in this study.

Supporting Institution

-

Project Number

-

Thanks

-

References

  • 1. Gregersen E. History of Technology Timeline | Britannica [Internet]. 2019 [cited 2023 Aug 26]. Available from: https://www.britannica.com/story/ history-of-technology-timeline
  • 2. Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2:719-731.
  • 3. Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. In: Artificial Intelligence in Healthcare. Elsevier. 2020;25-60.
  • 4. Bhattad PB, Jain V. Artificial Intelligence in Modern Medicine – The Evolving Necessity of the Present and Role in Transforming the Future of Medical Care. 2020;12.
  • 5. Mann DL. Artificial Intelligence Discusses the Role of Artificial Intelligence in Translational Medicine: A JACC: Basic to Translational Science Interview With ChatGPT. JACC Basic Transl Sci. 2023;8:221-223.
  • 6. Stewart C. AI in healthcare - statistics & facts. Statista. 2023.
  • 7. Clarivate. Document search - Web of Science Core Collection. 2023. Available from: https://www.webofscience.com/wos/woscc/basic-search
  • 8. Dealroom. Artificial intelligence list | Dealroom.co. 2023. https://app. dealroom.co/lists/10386
  • 9. Clarivate. Citation Topics. 2021. https://incites.help.clarivate.com/Content/ Research-Areas/citation-topics.htm
  • 10. Google. FAQ about Google Trends data - Trends Help [Internet]. 2023 [cited 2023 Aug 26]. Available from: https://support.google. c o m / t r e n d s / a n s w e r / 4 3 6 5 5 3 3 ? h l = e n & r e f _ t o p i c = 6 2 4 8 0 5 2 & s j id=6897574708492239557-EU
  • 11. IBM. Time Series Modeler - IBM Documentation [Internet]. 2023 [cited 2023 Aug 26]. Available from: https://www.ibm.com/docs/en/spss-statistics/29.0. 0 topic=forecasting-time-series-modeler
  • 12. Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21:125.
  • 13. Müller S. The top VC investors in healthtech | Dealroom.co [Internet]. 2023 [cited 2023 Jul 14]. Available from: https://dealroom.co/blog/the-top-vcinvestors- in-healthtech
There are 13 citations in total.

Details

Primary Language English
Subjects Medical Biochemistry and Metabolomics (Other)
Journal Section Articles
Authors

Murat Kavruk 0000-0001-5331-7253

Project Number -
Publication Date March 28, 2024
Submission Date November 8, 2023
Acceptance Date November 22, 2023
Published in Issue Year 2024 Volume: 77 Issue: 1

Cite

APA Kavruk, M. (2024). Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health. Ankara Üniversitesi Tıp Fakültesi Mecmuası, 77(1), 13-19. https://doi.org/10.4274/atfm.galenos.2023.24855
AMA Kavruk M. Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health. Ankara Üniversitesi Tıp Fakültesi Mecmuası. March 2024;77(1):13-19. doi:10.4274/atfm.galenos.2023.24855
Chicago Kavruk, Murat. “Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 77, no. 1 (March 2024): 13-19. https://doi.org/10.4274/atfm.galenos.2023.24855.
EndNote Kavruk M (March 1, 2024) Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health. Ankara Üniversitesi Tıp Fakültesi Mecmuası 77 1 13–19.
IEEE M. Kavruk, “Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health”, Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 77, no. 1, pp. 13–19, 2024, doi: 10.4274/atfm.galenos.2023.24855.
ISNAD Kavruk, Murat. “Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 77/1 (March 2024), 13-19. https://doi.org/10.4274/atfm.galenos.2023.24855.
JAMA Kavruk M. Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2024;77:13–19.
MLA Kavruk, Murat. “Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health”. Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 77, no. 1, 2024, pp. 13-19, doi:10.4274/atfm.galenos.2023.24855.
Vancouver Kavruk M. Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2024;77(1):13-9.
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