{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T03:54:08Z","timestamp":1768622048732,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643682945","type":"print"},{"value":"9781643682952","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T00:00:00Z","timestamp":1657843200000},"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":[[2022,7,15]]},"abstract":"<jats:p>Mild Cognitive Impairment (MCI) brings an increased risk of progressing to Alzheimer\u2019s disease (AD). Early identification of a risk of MCI progression could help patients get early treatment to slow progress of the disease. We used 3D Stereotactic Surface Projections (SSP) of Positron Emission Tomography (PET) brain images to train a classification model to identify MCI patients at risk of progressing to AD, which achieved 88.0% accuracy, 85.3% sensitivity, and 90.6% specificity. For model transparency purposes, we generated saliency map explanations from the trained model and evaluated these using radiologist feedback.<\/jats:p>","DOI":"10.3233\/faia220074","type":"book-chapter","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T07:22:38Z","timestamp":1658388158000},"source":"Crossref","is-referenced-by-count":3,"title":["Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections"],"prefix":"10.3233","author":[{"given":"Misgina Tsighe","family":"Hagos","sequence":"first","affiliation":[{"name":"Science Foundation Ireland Centre for Research Training in Machine Learning"},{"name":"School of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Alzheimer\u2019s Disease Neuroimaging Initiative 1 Data used in preparation of this article were obtained from the Alzheimer\u2019s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and\/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: https:\/\/adni.loni.usc.edu\/wp-content\/uploads\/how_to_apply\/ADNI_Acknowledgement_Lis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronan P.","family":"Killeen","sequence":"additional","affiliation":[{"name":"School of Medicine, University College Dublin"},{"name":"Department of Radiology"},{"name":"UCD\u2013SVUH PET CT Research Centre, St Vincent\u2019s University Hospital, Dublin 4, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathleen M.","family":"Curran","sequence":"additional","affiliation":[{"name":"Science Foundation Ireland Centre for Research Training in Machine Learning"},{"name":"School of Medicine, University College Dublin"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Mac Namee","sequence":"additional","affiliation":[{"name":"Science Foundation Ireland Centre for Research Training in Machine Learning"},{"name":"School of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","PAIS 2022"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T07:22:40Z","timestamp":1658388160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220074"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,15]]},"ISBN":["9781643682945","9781643682952"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220074","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,15]]}}}