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
. 2021 Jan;69(1):8-13.
doi: 10.4103/ijo.IJO_1848_19.

Artificial intelligence in ophthalmology and healthcare: An updated review of the techniques in use

Affiliations
Review

Artificial intelligence in ophthalmology and healthcare: An updated review of the techniques in use

Jatinder Bali et al. Indian J Ophthalmol. 2021 Jan.

Abstract

Artificial intelligence (AI) refers to "the ability of a digital machine or computer to accomplish tasks that traditionally have required human intelligence." These days, artificial intelligence is becoming popular in healthcare and more so in ophthalmology. It has shown promising results in diabetic retinopathy detection and referral. Recently, Indian data has depicted that the new algorithms can be generalized to the Indian population as well. An increased understanding of the tools is required especially by the practitioners and medical researchers so that they can contribute meaningfully to the development of the technology and not become mere data providers and data labelers. While AI is extensively being used by finance, marketing and travel industry, its application is more recent in medicine. The applications based on artificial intelligence have the potential to benefit all stakeholders in the healthcare industry.

Keywords: Artificial intelligence; machine learning; neural networks; support vector machine; techniques.

PubMed Disclaimer

Conflict of interest statement

None

Figures

Figure 1
Figure 1
Clinical data to clinical decision making using Natural Language Processing and Machine Learning Analysis
Figure 2
Figure 2
Decision Tree
Figure 3
Figure 3
Random Forest Analysis and Relation to Decision Trees
Figure 4
Figure 4
Neural Network Analysis

References

    1. Marr B Key Definitions of Artificial Intelligence (AI) That Explain Its Importance [Internet]. Forbes.com. 2019. cited 27 September 2019. Available from: https://www.forbes.com/sites/bernardmarr/2018/02/14/the-key-definitions-... .
    1. Administration UFaD. Guidance for industry: Electronic source data in clinical investigations. 2013. cited 27 September 2019. Available from: https://www.fda.gov/downloads/drugs/guidances/ucm328691.pdf .
    1. Darcy AM, Louie AK, Roberts LW. Machine learning and the profession of medicine. JAMA. 2016;315:551–2. - PubMed
    1. Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013;309:1351–2. - PubMed
    1. Murff HJ, FitzHenry F, Matheny ME, Gentry N, Kotter KL, Crimin K, et al. Automated identification of postoperative complications within an electronic medical record using natural language processing. JAMA. 2011;306:848–55. - PubMed