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
. 2022 Nov;39(6):934-936.
doi: 10.1111/pde.15149. Epub 2022 Sep 27.

Development of an artificial intelligence algorithm for the diagnosis of infantile hemangiomas

April J Zhang  1 , Nick Lindberg  2 , Sarah L Chamlin  3 , Anita N Haggstrom  4 , Anthony J Mancini  3 , Dawn H Siegel  5 , Beth A Drolet  6
Affiliations

Development of an artificial intelligence algorithm for the diagnosis of infantile hemangiomas

April J Zhang et al. Pediatr Dermatol. 2022 Nov.

Abstract

Prompt and accurate diagnosis of infantile hemangiomas is essential to prevent potential complications. This can be difficult due to high rates of misdiagnosis and poor access to pediatric dermatologists. In this study, we trained an artificial intelligence algorithm to diagnose infantile hemangiomas based on clinical images. Our algorithm achieved a 91.7% overall accuracy in the diagnosis of facial infantile hemangiomas.

Keywords: artificial intelligence; hemangioma; infants; machine learning; neoplasms; vascular tissue.

PubMed Disclaimer

References

REFERENCES

    1. Murphree DH, Puri P, Shamim H, et al. Deep learning for dermatologists: part I. Fundamental concepts. J Am Acad Dermatol. 2020;S0190-9622(20)30921-X.
    1. Puri P, Comfere N, Drage LA, et al. Deep learning for dermatologists: part II. Current applications. J Am Acad Dermatol. 2020;S0190-9622(20)30918-X.
    1. He, K, Zhang XY, Ren SQ, et al. Deep residual learning for image recognition. Paper presented at the 2016 IEEE Conference on Computer Vision and Pattern Recognition. 2015.
    1. Greene AK, Liu AS, Mulliken JB, Chalache K, Fishman SJ. Vascular anomalies in 5621 patients: guidelines for referral. J Pediatr Surg. 2011;46(9):1784-1789.
    1. Macfie CC, Jeffery SL. Diagnosis of vascular skin lesions in children: an audit and review. Pediatr Dermatol. 2008;25(1):7-12.

LinkOut - more resources