Artículo

Evolutionary impacts of artificial intelligence in Healthcare Managerial Literature. A ten-year Bibliometric and Topic Modeling Review.

Resumen

Background: In the last five years, there has been an accelerated growth in the scientific production about Artificial Intelligence and Healthcare by Scholars of the most diverse disciplines. Recently, the scientific corpus has been enriched with considerable literature reviews ranging from the overview of large collections of scientific documents to the recognition of the state of knowledge on specific aspects (e.g., in the medical field, ophthalmology, cardiology, nephrology, etc.). Methods: The methodological approaches belong to the scientific fields of bibliometrics and topic modeling. Following a bibliometric analysis of the literature on the subject, conducted on a vast collection of scientific contributions, we also searched for the “latent” themes in the semantic structures of these documents, identified the relationships between them and recognized the most likely to be investigated in the future. Results: Results show 24 topics about future trends in literature review connecting the field of AI and Healthcare. Conclusions: This bibliometric review of the literature on artificial intelligence and healthcare allows identifying of some privileged areas of attention by scholars of different disciplines. However, it also reveals the limits of hard clustering techniques, as demonstrated by the presence of some keywords in several groups. The numerous existing reviews must be integrated by reviews based on Topic Modeling techniques, which make it possible to identify topics, historical trends (classical and emerging topics), associations between the documents and to predict, on a probabilistic basis, which scientific fields will be most likely to see development in the future.
https://doi.org/10.1016/j.sftr.2024.100198
Evolutionary impacts of artificial intelligence in Healthcare Managerial Literature. A ten-year Bibliometric and Topic Modeling Review.
2024
gold
https://doi.org/10.1016/j.sftr.2024.100198
Fabrizio D’ascenzo; Andrea Rocchi; Francesca Iandolo; Pietro Vito
PhD, Full Professor, Department of Management, Sapienza Università di Roma, Rome, Italy; PhD, Associate Professor, Department of Communication and Social Research (CORIS), Sapienza Università, di Roma, Rome, Italy; PhD, Assistant Professor, Department of Management, Sapienza Università di Roma, Rome, Italy
Artículo obtenido de:
OpenAlex
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio