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Review
. 2023 Aug 29:6:1227091.
doi: 10.3389/frai.2023.1227091. eCollection 2023.

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

Gokul Krishnan #  1 , Shiana Singh #  2 , Monika Pathania #  3 , Siddharth Gosavi  1 , Shuchi Abhishek  1 , Ashwin Parchani  3 , Minakshi Dhar  3
Affiliations
Review

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

Gokul Krishnan et al. Front Artif Intell. .

Abstract

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.

Keywords: clinical medicine; deep learning; internal medicine; machine learning; neural networks.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Common applications of AI in daily life and medicine.
Figure 2
Figure 2
A comparison between the learning curve of a physician vs. AI.
See this image and copyright information in PMC

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