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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

The use of artificial intelligence for early detection of acromegaly from patients’ photographs

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  • The use of artificial intelligence for early detection of acromegaly from patients’ photographs

Sana Rafi 1, Ghizlane Elmghari 1, Nawal Elansari 1 and Asma Sbai 2, *

1 Department of Endocrinology, Diabetology and Metabolic Diseases, Hospital Errazi University Hostpital Center - Mohamed VI, Marrakech, Morocco.
2 Laboratory of Bioscience and Health, Faculty of Medicine and Pharmacy, Cadi Ayyad University, Marrakech, Morocco.
 
Research Article
World Journal of Advanced Research and Reviews, 2022, 16(01), 246-251
Article DOI: 10.30574/wjarr.2022.16.1.1016
DOI url: https://doi.org/10.30574/wjarr.2022.16.1.1016
 
Received on 05 September 2022; revised on 06 October 2022; accepted on 09 October 2022
 
Acromegaly is a rare endocrine disease. It manifests with a metabolic disorder and typical physical changes. It evolves gradually and the first obvious signs appears between 7 to 10 years. The effects on patients are both physical and psychological. The diagnostic delay is associated with increased mortality and disability and the drastic changes, in many cases, are irreversible. Early diagnosis will help patients with acromegaly live better lives and reduce the financial burden of their condition. We aim by this survey to investigate the ways artificial intelligence where used for the early detection of acromegaly from photographs. No literature survey was conducted, to our knowledge, that tackle the different artificial intelligence techniques used for this purpose, their results and limitations.
 
Machine Learning; Deep Learning; Acromegaly; Photographs
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2022-1016.pdf

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Sana Rafi, Ghizlane Elmghari, Nawal Elansari and Asma Sbai. The use of artificial intelligence for early detection of acromegaly from patients’ photographs. World Journal of Advanced Research and Reviews, 2022, 16(1), 246-251. Article DOI: https://doi.org/10.30574/wjarr.2022.16.1.1016

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