Title: Emerging trends of artificial intelligence in healthcare: a bibliometric outlook

Authors: Maria Inês Almeida; Alvaro Rosa; Helena Castelão Figueira Carlos Pestana

Addresses: Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal ' Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL), Lisbon, Portugal ' Instituto Universitário de Lisboa (ISCTE-IUL), ISCTE- Executive Education, Lisbon, Portugal

Abstract: Emerging technologies are reshaping the landscape of healthcare, with artificial intelligence (AI) spearheading this transformative wave. The exploration of AI within the realm of healthcare is rapidly growing across multiple domains of medicine, with the aim of enhancing the healthcare sector by enabling tailored approaches to diagnosis, prognosis, and patient interventions. This study aims to understand the emerging applications of AI to aid the emergence and implementation of precision medicine. A descriptive bibliometric analysis and a conceptual structure analysis were carried out for this purpose. Our findings suggest that machine and deep learning models are primarily employed for disease diagnosis and prognosis, with a stronger emphasis on clinical specialties like cardiovascular and pulmonary conditions, as well as oncology and radiology. The current and upcoming focus of research revolves around the prominent subject of big data analysis, encompassing the following fundamental data science techniques: segmentation, classification, and processing of medical imaging.

Keywords: artificial intelligence; machine learning; deep learning; health; bibliometric analysis.

DOI: 10.1504/IJHTM.2024.136548

International Journal of Healthcare Technology and Management, 2024 Vol.21 No.1, pp.49 - 78

Received: 24 Feb 2023
Accepted: 28 Sep 2023
Published online: 06 Feb 2024 *

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