{"entity": "researcher", "timestamp": "2026-11-10T17:46:50.536Z", "family": "Vincent", "given": "Navin", "initials": "N", "orcid": "0000-0003-2894-6319", "affiliations": ["Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/2bfee23d8a4e469c80cec09ea7e4cf01.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/2bfee23d8a4e469c80cec09ea7e4cf01"}}, "publications": [{"entity": "publication", "iuid": "f7f9d4ba9eb241c4aa60165bbb2bd987", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/f7f9d4ba9eb241c4aa60165bbb2bd987.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/f7f9d4ba9eb241c4aa60165bbb2bd987"}}, "title": "Validation of diagnostic artificial intelligence models for prostate pathology in a Middle Eastern cohort.", "authors": [{"family": "Muhammad Ali", "given": "Peshawa J", "initials": "PJ", "orcid": "0000-0002-0471-5172", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6b84b2c443d14a36ba3adb8a053fae76.json"}}, {"family": "Vincent", "given": "Navin", "initials": "N", "orcid": "0000-0003-2894-6319", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/2bfee23d8a4e469c80cec09ea7e4cf01.json"}}, {"family": "Abdulla", "given": "Saman S", "initials": "SS"}, {"family": "Mohammed Fadhl", "given": "Han N", "initials": "HN"}, {"family": "Blilie", "given": "Anders", "initials": "A"}, {"family": "Szolnoky", "given": "Kelvin", "initials": "K"}, {"family": "Mielcarz", "given": "Julia Anna", "initials": "JA"}, {"family": "Ji", "given": "Xiaoyi", "initials": "X"}, {"family": "Mulliqi", "given": "Nita", "initials": "N"}, {"family": "Al-Talabani", "given": "Abdulbasit K", "initials": "AK"}, {"family": "Kartasalo", "given": "Kimmo", "initials": "K", "orcid": "0000-0002-9470-4783", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7c6fc97c06ed456c8bdd1f03db8a9b72.json"}}], "type": "journal article", "published": "2026-10-10", "journal": {"title": "Virchows Arch.", "issn": "1432-2307", "issn-l": "0945-6317"}, "abstract": "Artificial intelligence (AI) for pathology is accelerating cancer diagnostics. For global adoption, studies in currently under-represented populations - where the potential gains from AI may also be greatest - are needed. We present the first external validation study in a Middle Eastern setting, focusing on diagnosis and Gleason grading of prostate cancer. We digitised 339 prostate glass slides from Kurdistan, Iraq, representing a consecutive series of 185 patients from 2013 to 2024. Each slide was scanned on three digital pathology scanners, generating 1,017 whole-slide images. Task-specific and foundation AI models demonstrated AI-pathologist grading concordance similar to pathologist-pathologist concordance (Cohen's quadratically weighted kappa 0.801 vs. 0.799). Cross-scanner concordance was high (kappa > 0.90) for all AI models across three scanners. The demonstrated robust performance on a low-cost compact scanner could enable validation studies in non-digitalised settings and cost-effective AI adoption in laboratories with limited sample volumes. The publicly shared dataset supports further research to facilitate broader adoption of AI pathology.", "doi": "10.1007/s00428-026-04742-5", "pmid": "42858194", "labels": {"Kimmo Kartasalo": null, "DDLS Fellow": null}, "xrefs": [{"db": "pii", "key": "10.1007/s00428-026-04742-5"}], "notes": [], "created": "2026-11-10T11:09:30.695Z", "modified": "2026-11-10T11:09:30.883Z"}]}