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Emerging trends of artificial intelligence in healthcare: a bibliometric outlook

Maria Inês Almeida et al.

International Journal of Healthcare Technology and Management2024https://doi.org/10.1504/ijhtm.2024.136548article
AJG 1
Weight
0.32

What the paper says

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.

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https://doi.org/https://doi.org/10.1504/ijhtm.2024.136548

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@article{maria2024,
  title        = {{Emerging trends of artificial intelligence in healthcare: a bibliometric outlook}},
  author       = {Maria Inês Almeida et al.},
  journal      = {International Journal of Healthcare Technology and Management},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijhtm.2024.136548},
}

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Evidence weight

0.32

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.05 × 0.4 = 0.02
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.