{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T05:30:58Z","timestamp":1791437458470,"version":"4.3.3"},"reference-count":41,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,5,5]],"date-time":"2024-05-05T00:00:00Z","timestamp":1714867200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fondation of Office Ch\u00e9rifien des Phosphates (OCP), Morocco"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Cutaneous Leishmaniasis (CL) is a major global health problem requiring appropriate diagnosis methods. Its diagnosis is challenging, particularly in resource-limited settings. The integration of Artificial Intelligence (AI) into medical diagnostics has shown promising results in various fields, including dermatology. In this systematic review, we aim to highlight the value of using AI for CL diagnosis and the AI-based algorithms that are employed in this process, and to identify gaps that need to be addressed. Our work highlights that only a limited number of studies are related to using AI algorithms for CL diagnosis. Among these studies, seven gaps were identified for future research. Addressing these considerations will pave the way for the development of robust AI systems and encourage more research in CL detection by AI. This could contribute to improving CL diagnosis and, ultimately, healthcare outcomes in CL-endemic regions.<\/jats:p>","DOI":"10.3390\/diagnostics14090963","type":"journal-article","created":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T15:09:36Z","timestamp":1715008176000},"page":"963","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Artificial Intelligence in Cutaneous Leishmaniasis Diagnosis: Current Developments and Future Perspectives"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7580-6750","authenticated-orcid":false,"given":"Hasnaa","family":"Talimi","sequence":"first","affiliation":[{"name":"Laboratory of Parasitology and Vector-Borne-Diseases, Institut Pasteur du Maroc, Casablanca 20360, Morocco"},{"name":"Systems and Data Engineering Team, National School of Applied Sciences, University Abdelmalek Essaadi, Tangier 93000, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8975-3372","authenticated-orcid":false,"given":"Kawtar","family":"Retmi","sequence":"additional","affiliation":[{"name":"Institute of Biological Sciences (ISSB-P), Mohammed VI Polytechnique University, Ben Guerir 43150, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachida","family":"Fissoune","sequence":"additional","affiliation":[{"name":"Systems and Data Engineering Team, National School of Applied Sciences, University Abdelmalek Essaadi, Tangier 93000, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9923-9219","authenticated-orcid":false,"given":"Meryem","family":"Lemrani","sequence":"additional","affiliation":[{"name":"Laboratory of Parasitology and Vector-Borne-Diseases, Institut Pasteur du Maroc, Casablanca 20360, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,5]]},"reference":[{"key":"ref_1","unstructured":"(2023, January 28). 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