Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Apr 18;11(8):2265.
doi: 10.3390/jcm11082265.

Clinical Applications of Artificial Intelligence-An Updated Overview

Ștefan Busnatu  1 , Adelina-Gabriela Niculescu  2 , Alexandra Bolocan  1 , George E D Petrescu  1 , Dan Nicolae Păduraru  1 , Iulian Năstasă  1 , Mircea Lupușoru  1 , Marius Geantă  3 , Octavian Andronic  1 , Alexandru Mihai Grumezescu  2   4   5 , Henrique Martins  6
Affiliations
Review

Clinical Applications of Artificial Intelligence-An Updated Overview

Ștefan Busnatu et al. J Clin Med. .

Abstract

Artificial intelligence has the potential to revolutionize modern society in all its aspects. Encouraged by the variety and vast amount of data that can be gathered from patients (e.g., medical images, text, and electronic health records), researchers have recently increased their interest in developing AI solutions for clinical care. Moreover, a diverse repertoire of methods can be chosen towards creating performant models for use in medical applications, ranging from disease prediction, diagnosis, and prognosis to opting for the most appropriate treatment for an individual patient. In this respect, the present paper aims to review the advancements reported at the convergence of AI and clinical care. Thus, this work presents AI clinical applications in a comprehensive manner, discussing the recent literature studies classified according to medical specialties. In addition, the challenges and limitations hindering AI integration in the clinical setting are further pointed out.

Keywords: artificial intelligence; clinical applications; deep learning; machine learning; personalized medicine; precision medicine.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Relationship between AI, ML, and DL. Created based on information from [4,8,9,10].
Figure 2
Figure 2
Examples of AI potential applications in clinical care. Reproduced from [6].
Figure 3
Figure 3
ML in drug discovery. Reproduced from [14], Elsevier B.V. 2021.
Figure 4
Figure 4
Applications of AI in drug discovery. Adapted from [14].
Figure 5
Figure 5
The main challenges in AI clinical integration.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Muthalaly R.G., Evans R.M. Applications of Machine Learning in Cardiac Electrophysiology. Arrhythm Electrophysiol. Rev. 2020;9:71–77. doi: 10.15420/aer.2019.19. - DOI - PMC - PubMed
    1. Asha P., Srivani P., Ahmed A.A.A., Kolhe A., Nomani M.Z.M. Artificial intelligence in medical Imaging: An analysis of innovative technique and its future promise. Mater. Today Proc. 2021;56:2236–2239. doi: 10.1016/j.matpr.2021.11.558. - DOI
    1. Yao L., Zhang H., Zhang M., Chen X., Zhang J., Huang J., Zhang L. Application of artificial intelligence in renal disease. Clin. Ehealth. 2021;4:54–61. doi: 10.1016/j.ceh.2021.11.003. - DOI
    1. Van den Eynde J., Lachmann M., Laugwitz K.-L., Manlhiot C., Kutty S. Successfully Implemented Artificial Intelligence and Machine Learning Applications In Cardiology: State-of-the-Art Review. Trends Cardiovasc. Med. 2022 doi: 10.1016/j.tcm.2022.01.010. - DOI - PubMed
    1. Laptev V.A., Ershova I.V., Feyzrakhmanova D.R. Medical Applications of Artificial Intelligence (Legal Aspects and Future Prospects) Laws. 2022;11:3. doi: 10.3390/laws11010003. - DOI

LinkOut - more resources