Databases, big data and artificial intelligence: what healthcare professionals need to know about them

Lauricella, Letícia Leone; Pêgo-Fernandes, Paulo Manuel

doi:10.1590/1516-3180.2022.140611082022

Sao Paulo Med. J.

2022

DOI: 10.1590/1516-3180.2022.140611082022

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Databases, big data and artificial intelligence: what healthcare professionals need to know about them

Letícia Leone Lauricella

Paulo Manuel Pêgo-Fernandes

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2023

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Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

Krishnan,

Singh,

Pathania

et al. 2023

Front. Artif. Intell.

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As the demand for quality healthcare increases, healthcare systems worldwide are grappling with time constraints and excessive workloads, which can compromise the quality of patient care. Artificial intelligence (AI) has emerged as a powerful tool in clinical medicine, revolutionizing various aspects of patient care and medical research. The integration of AI in clinical medicine has not only improved diagnostic accuracy and treatment outcomes, but also contributed to more efficient healthcare delivery, reduced costs, and facilitated better patient experiences. This review article provides an extensive overview of AI applications in history taking, clinical examination, imaging, therapeutics, prognosis and research. Furthermore, it highlights the critical role AI has played in transforming healthcare in developing nations.

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Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

Krishnan,

Singh,

Pathania

et al. 2023

Front. Artif. Intell.

View full text Add to dashboard Cite

show abstract

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Databases, big data and artificial intelligence: what healthcare professionals need to know about them

Cited by 1 publication

References 7 publications

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

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