{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:49:47Z","timestamp":1782989387850,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"abstract":"<jats:p>Artificial Intelligence (AI) is transforming medical imaging, especially pathology through deep learning. In low-resource settings like Burkina Faso, early breast cancer detection remains difficult due to limited infrastructure and specialists. This paper reviews AI methods for detecting breast cancer from histopathological images, analyzing 30\/50 selected studies. Results show high performance of deep learning models, particularly CNNs, with sensitivity up to 95\u2013100%. However, challenges persist in data availability, interpretability, and adaptation to local contexts. The study emphasizes the need for local datasets, capacity building, and adapted infrastructure.<\/jats:p>","DOI":"10.3233\/shti260812","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T09:59:49Z","timestamp":1782986389000},"source":"Crossref","is-referenced-by-count":0,"title":["State of the Art: Artificial Intelligence Approaches for Enhancing Medical Imaging in Burkina Faso \u2013 A Case Study on Early Detection of Breast Cancer from Pathology Imaging"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5735-0940","authenticated-orcid":false,"given":"Thomas Alassane","family":"Ouattara","sequence":"first","affiliation":[{"name":"Nazi Boni University, Bobo-Dioulasso, Burkina Faso"},{"name":"Centre de Formation et de Recherche en Technologie M\u00e9dicale (CFRTM)"},{"name":"RETINES\/Universit\u00e9 C\u00f4te d\u2019Azur, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8274-6700","authenticated-orcid":false,"given":"Seydou Golo","family":"Barro","sequence":"additional","affiliation":[{"name":"Nazi Boni University, Bobo-Dioulasso, Burkina Faso"},{"name":"Centre de Formation et de Recherche en Technologie M\u00e9dicale (CFRTM)"},{"name":"RETINES\/Universit\u00e9 C\u00f4te d\u2019Azur, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascal","family":"Staccini","sequence":"additional","affiliation":[{"name":"RETINES\/Universit\u00e9 C\u00f4te d\u2019Azur, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T09:59:50Z","timestamp":1782986390000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260812"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260812","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}