Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative

Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially. However, integration into routine clinical practice has been slow due to numerous challenges, including technical and regulatory hurdles in translating research results into clinical diagnostic produ...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Norman Zerbe, Lars Ole Schwen, Christian Geißler, Katja Wiesemann, Tom Bisson, Peter Boor, Rita Carvalho, Michael Franz, Christoph Jansen, Tim-Rasmus Kiehl, Björn Lindequist, Nora Charlotte Pohlan, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Elsevier 2024-12-01
سلاسل:	Journal of Pathology Informatics
الموضوعات:	Digital pathology Artificial intelligence Standardization Interoperability Validation of algorithms Explainability
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2153353924000269
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!