{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T00:58:54Z","timestamp":1792198734739,"version":"4.4.0"},"reference-count":12,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Euro J of Neurology"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To measure intra\u2010observer and interobserver correlations and reading times for visual and artificial intelligence algorithm\u2010assisted reading (innerve) of intraepidermal small nerve fiber density (IENFD) in skin biopsies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We retrospectively selected 40 skin biopsy slides with PGP9.5\/col4 double\u2010immunofluorescence labeling. The slides were scanned and read by two experienced observers (O1 and O2), on two occasions (visual reading 1 \u2010VR1\u2010 and 2 \u2010VR2\u2010). They were then read after predetection with the Innerve algorithm (assisted reading \u2010AR\u2010). IENFD and reading time were evaluated to assess reliability and time saved.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Intra\u2010observer reliability was evaluated by calculating intraclass correlation coefficient (ICC). The ICC obtained were 0.95 (O1)\/0.99 (O2) for the two VR and 0.96 (O1)\/0.99 (O2) for VR1\/AR. Inter\u2010rater ICC between O1 and O2 was 0.88, 0.87, and 0.93 for VR1, VR2, and AR, respectively. AR reading time was 1.96 times faster for O1 and 1.03 times slower for O2. Subgroup analyses revealed an interobserver ICC significantly &gt;\u20090.7 (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05), with ICC\u2009&gt;\u20090.9 regardless of sex and skin pigmentation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Innerve is an innovative and reliable AI tool for IENFD determinations on skin biopsies, making such analyses\u2014which were considered time\u2010consuming and difficult\u2014easier for small\u2010fiber neuropathy diagnosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ene.70589","type":"journal-article","created":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T09:36:06Z","timestamp":1775640966000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The\n                    <scp>AI<\/scp>\n                    Innerve Algorithm: Automatic Reproducible Reading for Intraepidermal Nerve Fiber Density Analysis, a New Tool for Small\u2010Fiber Neuropathy Diagnosis"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9765-709X","authenticated-orcid":false,"given":"C.","family":"Labeyrie","sequence":"first","affiliation":[{"name":"Neurology Department, French Reference Center for Rare Peripheral Neuropathies Bicetre Hospital, APHP  Le Kremlin Bic\u00eatre France"},{"name":"INSERM, U1195, Diseases and Hormones of the Nervous System, Bicetre Hospital  Le Kremlin Bic\u00eatre France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Lorenzo de Brionne","sequence":"additional","affiliation":[{"name":"Invent Lab, Capgemini Invent  Issy\u2010les\u2010Moulineaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"O.","family":"Trassard","sequence":"additional","affiliation":[{"name":"INSERM, UMS 44, Institut Biom\u00e9dical du Val de Bi\u00e8vre, Bicetre Hospital  Le Kremlin Bic\u00eatre France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V.","family":"Blot","sequence":"additional","affiliation":[{"name":"Invent Lab, Capgemini Invent  Issy\u2010les\u2010Moulineaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"O.","family":"Petit","sequence":"additional","affiliation":[{"name":"Invent Lab, Capgemini Invent  Issy\u2010les\u2010Moulineaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Hervault","sequence":"additional","affiliation":[{"name":"Invent Lab, Capgemini Invent  Issy\u2010les\u2010Moulineaux 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