Journal

Classification of serum protein and immunofixation electrophoresis images by computer vision-based deep learning models: A single- and dual-modality study​Maide Hacer Alagöz, Simge Erdem, Poyraz Doğan, İbrahim Utku Derman, Mehmet Güven Günver, Özlem Çakır Madenci, Evin Ademoğlu1Kartal Dr Lütfi Kırdar City Hospital, Biochemistry Laboratory, University of Health Sciences, İstanbul, Türkiye2İstanbul Faculty of Medicine, Department of Internal Medicine, Division of Hematology, İstanbul University, İstanbul, Türkiye3İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye4Faculty of Engineering, Boğaziçi University, İstanbul, Türkiye5İstanbul Faculty of Medicine, Department of Biostatistics, İstanbul University Türkiye, İstanbul, Türkiye6İstanbul Faculty of Medicine, Department of Medical Biochemistry, İstanbul University, İstanbul, Türkiyeon May 13, 2026 at 11:19 am

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Annals of Clinical Biochemistry, Ahead of Print. ObjectivesThe objective of this study was to develop deep learning models for the automated classification of serum protein electrophoresis (SPE) and immunofixation electrophoresis (IFE) images into oncologic, non-oncologic, and healthy categories, and to …

Awareness, attitudes, and perceived barriers to artificial intelligence adoption in Turkish clinical biochemistry laboratories: An exploratory cross-sectional survey​Said İncir, Kerim Erhan Palaoğlu, Osman Oğuz, Ayşegül Özgenç, Yunus Gören, Deniz İlhan Topcu, Dildar Konukoğlu1Department of Medical Biochemistry, Koç University School of Medicine, İstanbul, Türkiye2587267Clinical Laboratory, Koç University Hospital, İstanbul, Türkiye3Clinical Laboratory, VKV American Hospital, İstanbul, Türkiye4723887Department of Clinical Biochemistry, TC Sağlık Bakanlığı Gaziantep Şehir Hastanesi, Gaziantep, Türkiye5680000Department of Medical Biochemistry, TC Sağlık Bakanlığı İzmir Şehir Hastanesi, İzmir, Türkiye6532719İstanbul Üniversitesi-Cerrahpaşa, Istanbul, Türkiyeon May 13, 2026 at 2:37 am

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Annals of Clinical Biochemistry, Ahead of Print. BackgroundArtificial intelligence (AI) is increasingly recognized as transformative in laboratory medicine, yet adoption lags behind radiology and cardiology. Limited data exist on AI-related attitudes and perceived barriers in Turkish clinical …

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