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
. 2023 Nov 24;15(11):e49366.
doi: 10.7759/cureus.49366. eCollection 2023 Nov.

Applications of Artificial Intelligence in Microbial Diagnosis

Yogendra P Shelke  1 , Ankit K Badge  2 , Nandkishor J Bankar  3
Affiliations
Review

Applications of Artificial Intelligence in Microbial Diagnosis

Yogendra P Shelke et al. Cureus. .

Abstract

The diagnosis is an important factor in healthcare care, and it is essential to identify microorganisms that cause infections and diseases. The application of artificial intelligence (AI) systems can improve disease management, drug development, antibiotic resistance prediction, and epidemiological monitoring in the field of microbial diagnosis. AI systems can quickly and accurately detect infections, including new and drug-resistant strains, and enable early detection of antibiotic resistance and improved diagnostic techniques. The application of AI in bacterial diagnosis focuses on the speed, precision, and identification of pathogens and the ability to predict antibiotic resistance.

Keywords: antibiotic resistance prediction; artificial intelligence in healthcare; epidemiological monitoring; microbial diagnosis; pathogen identification.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Advances in chemical and biological methods to identify microorganisms-from past to present. Franco-Duarte R, Černáková L, Kadam S, et al. Microorganisms. 2019;7:130. - PMC - PubMed
    1. Bohr A, Memarzadeh K. Artificial Intelligence in Healthcare. Amsterdam, The Netherlands: Elsevier; 2020. The rise of artificial intelligence in healthcare applications; pp. 25–60.
    1. Legal and ethical consideration in artificial intelligence in healthcare: who takes responsibility? Naik N, Hameed BM, Shetty DK, et al. Front Surg. 2022;9:862322. - PMC - PubMed
    1. Artificial intelligence for antimicrobial resistance prediction: Challenges and opportunities towards practical implementation. Ali T, Ahmed S, Aslam M. Antibiotics (Basel) 2023;12:523. - PMC - PubMed
    1. Emerging technologies for the clinical microbiology laboratory. Buchan BW, Ledeboer NA. Clin Microbiol Rev. 2014;27:783–822. - PMC - PubMed

LinkOut - more resources