Scholarly record
GOING DIGITAL: THE TRANSFORMATION OF THE HEALTHCARE SECTOR BY ARTIFICIAL INTELLIGENCE
Abstract
The aim of this research is to analyze how digitization impacts the healthcare services. The alert pace of innovation changes the face of traditional medicine and brings change for all those involved in the medical act: doctors, patients, management, authorities. For them, it is vital to know the many forms that digitization can take in the provision of healthcare services. The development of personalized medicine and the empowerment of patients are global goals that involve digital e-health services. The synergy between digitization-innovation-research has become a sine-qua-non condition for the modern economy. The paper address current Artificial Intelligence uses in Cardiology and Obstetrics and Gynecology. Regardless of the form in which it participates in the provision of medical services, the benefits of AI consist in saving time, ranking treatment methods, improvement of patient safety, reducing costs and increasing the quality of treatment by decreasing the number of proposed treatment schemes and medical errors. The findings of the article represent a tool for healthcare professionals who are concerned about the evolution of the medical sector.
Publication Impact Profile
Publication details
References12
Hamet, P., Tremblay, J., Artificial intelligence in medicine, Metabolism, Volume 69, Supplement, 2017, pp S36-S40, DOI: 10.1016/j.metabol.2017.01.011.
Pandya, S.; Thakur, A.; Saxena, S.; Jassal, N.; Patel, C.; Modi, K.; Shah, P.; Joshi, R.; Gonge, S.; Kadam, K.; et al. A Studyof the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets,and Future Directions. Sensors 2021,21, 7786. DOI: 10.3390/s21237786 3
Petcu I., Barbu D.-C., Negoi?a S.-I., Techniques based on intelligent algorithms used in the prevention of skin cancer, Romanian Journal of Information Technology and Automatic Control, Vol. 32, No. 2, pp 21-34, 2022
Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019 Jun;6(2):94-98. DOI: 10.7861/futurehosp.6-2-94. PMID: 31363513; PMCID: PMC6616181.
Haq IU, Chhatwal K, Sanaka K, Xu B. Artificial Intelligence in Cardiovascular Medicine: Current Insights and Future Prospects. Vasc Health Risk Manag. 2022;18 pp 517-528 DOI: 10.2147/VHRM.S279337
Seetharam,K., Shrestha, S., Sengupta, P., Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence, Interventional Cardiology 2021;16:e31. DOI: 10.15420/icr.2020.04
Johnson K. W., Soto J. T., Glicksberg B. S., Shameer, K., Miotto, R., Ali, M., Ashley, E., Dudley, J. T., Artificial Intelligence in Cardiology, Journal of the American College of Cardiology, Volume 71, Issue 23, 2018, Pages 2668-2679 ISSN 0735-1097, DOI: 10.1016/j.jacc.2018.03.521.
Cai A, Zhu Y, Clarkson SA, Feng Y. The Use of Machine Learning for the Care of Hypertension and Heart Failure. JACC Asia. 2021 Sep 21;1(2):162-172. DOI: 10.1016/j.jacasi.2021.07.005. PMID: 36338169; PMCID: PMC9627876.
Iftikhar P., Kuijpers MV, Khayyat A, Iftikhar A, DeGouvia De Sa M. Artificial Intelligence: A New Paradigm in Obstetrics and Gynecology Research and Clinical Practice. Cureus. 2020 Feb 28;12(2):e7124. DOI: 10.7759/cureus.7124. PMID: 32257670; PMCID: PMC7105008.
Moawad, G., Paulb T., Louie, Michelleb L.. Artificial intelligence and augmented reality in gynecology. Current Opinion in Obstetrics and Gynecology: October 2019 - Volume 31 - Issue 5 - p 345-348 DOI: 10.1097/GCO.0000000000000559
Zhou J, Zeng ZY, Li L. Progress of Artificial Intelligence in Gynecological Malignant Tumors. Cancer Manag Res. 2020;12:12823-12840 DOI: 10.2147/CMAR.S279990
https://www.cbinsights.com/research/report/ai-trends-2021/
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
