A(eye): A Review of Current Applications of Artificial Intelligence and Machine Learning in Ophthalmology
- PMID: 31855896
- DOI: 10.1097/IIO.0000000000000298
A(eye): A Review of Current Applications of Artificial Intelligence and Machine Learning in Ophthalmology
Similar articles
-
The current state of artificial intelligence in ophthalmology.Surv Ophthalmol. 2019 Mar-Apr;64(2):233-240. doi: 10.1016/j.survophthal.2018.09.002. Epub 2018 Sep 22. Surv Ophthalmol. 2019. PMID: 30248307 Review.
-
Ophthalmology and the emergence of artificial intelligence.Med J Aust. 2021 Mar;214(4):155-157.e1. doi: 10.5694/mja2.50932. Epub 2021 Feb 14. Med J Aust. 2021. PMID: 33583047 No abstract available.
-
Artificial intelligence for pediatric ophthalmology.Curr Opin Ophthalmol. 2019 Sep;30(5):337-346. doi: 10.1097/ICU.0000000000000593. Curr Opin Ophthalmol. 2019. PMID: 31261187 Review.
-
Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.Anesthesiology. 2020 Feb;132(2):379-394. doi: 10.1097/ALN.0000000000002960. Anesthesiology. 2020. PMID: 31939856 Free PMC article. Review.
-
Artificial Intelligence and Applications in PM&R.Am J Phys Med Rehabil. 2019 Nov;98(11):e128-e129. doi: 10.1097/PHM.0000000000001171. Am J Phys Med Rehabil. 2019. PMID: 30839314
Cited by
-
Transforming breast reconstruction: the pioneering role of artificial intelligence in preoperative planning.Gland Surg. 2023 Sep 25;12(9):1271-1275. doi: 10.21037/gs-23-265. Epub 2023 Sep 14. Gland Surg. 2023. PMID: 37842522 Free PMC article.
-
Facilitating deep learning through preprocessing of optical coherence tomography images.BMC Ophthalmol. 2023 Apr 17;23(1):158. doi: 10.1186/s12886-023-02916-2. BMC Ophthalmol. 2023. PMID: 37069534 Free PMC article.
-
Surfing the COVID-19 Tsunami with Teleophthalmology: the Advent of New Models of Eye Care.Curr Ophthalmol Rep. 2023;11(1):1-12. doi: 10.1007/s40135-023-00308-9. Epub 2023 Jan 28. Curr Ophthalmol Rep. 2023. PMID: 36743397 Free PMC article. Review.
-
Artificial intelligence and machine learning in ocular oncology: Retinoblastoma.Indian J Ophthalmol. 2023 Feb;71(2):424-430. doi: 10.4103/ijo.IJO_1393_22. Indian J Ophthalmol. 2023. PMID: 36727332 Free PMC article.
-
Assessing the Performance of a Novel Bayesian Algorithm at Point of Care for Red Eye Complaints.Vision (Basel). 2022 Oct 24;6(4):64. doi: 10.3390/vision6040064. Vision (Basel). 2022. PMID: 36412645 Free PMC article.
References
-
- Patel VL, Shortliffe EH, Stefanelli M, et al. The coming of age of artificial intelligence in medicine. Artif Intell Med. 2009;46:5–17.
-
- Thrall JH, Li X, Li Q, et al. Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success. J Am Coll Radiol. 2018;15:504–508.
-
- Li C, Hou L, Sharma BY, et al. Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. Comput Methods Programs Biomed. 2018;153:211–225.
-
- Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115–118.
-
- Shameer K, Johnson KW, Glicksberg BS, et al. Machine learning in cardiovascular medicine: are we there yet? Heart. 2018;104:1156–1164.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
