Artificial intelligence for automatic diagnosis and pleomorphic morphological characterization of malignant biliary strictures using digital cholangioscopy.

Miguel Mascarenhas^1,2,3,4, Maria João Almeida^5,6, Mariano González-Haba⁷, Belén Agudo Castillo⁷, Jessica Widmer⁸, António Costa⁷, Yousef Fazel⁸, Tiago Ribeiro^5,6,9, Francisco Mendes^5,6,9, Miguel Martins^5,6,9, João Afonso^5,6,9, Pedro Cardoso^5,6,9, Joana Mota^5,6, Joana Fernandes¹⁰, João Ferreira^10,11, Filipe Vilas Boas^5,6,9, Pedro Pereira^5,6,9, Guilherme Macedo^5,6,9

¹Department of Gastroenterology, Precision Medicine Unit, São João University Hospital, Porto, Portugal. miguelmascarenhassaraiva@gmail.com.

²WGO Gastroenterology and Hepatology Training Center, Porto, Portugal. miguelmascarenhassaraiva@gmail.com.

³Faculty of Medicine, University of Porto, Porto, Portugal. miguelmascarenhassaraiva@gmail.com.

⁴Gastroenterology Department Hospital de São João, Porto, 4200-427, Portugal. miguelmascarenhassaraiva@gmail.com.

⁵Department of Gastroenterology, Precision Medicine Unit, São João University Hospital, Porto, Portugal.

⁶WGO Gastroenterology and Hepatology Training Center, Porto, Portugal.

⁷Department of Gastroenterology, Hospital Universitario Puerta de Hierro Majadahonda, C/Joaquín Rodrigo, Majadahonda, Madrid, 28220, Spain.

⁸Department of Gastroenterology, New York University Langone Hospital, New York, USA.

⁹Faculty of Medicine, University of Porto, Porto, Portugal.

¹⁰Department of Mechanical Engineering, Faculty of Engineering, University of Porto, Porto, Portugal.

¹¹DigestAID-Digestive Artificial Intelligence Development, Rua Alfredo Allen n.o 455/461, Porto, 4200-135, Portugal.

PubMed PMC DOI PDF

Abstract

Diagnosing and characterizing biliary strictures (BS) remains challenging. Artificial intelligence (AI) applied to digital single-operator cholangioscopy (D-SOC) holds promise for improving diagnostic accuracy in indeterminate BS. This multicenter study aimed to validate a convolutional neural network (CNN) model using a large dataset of D-SOC images to automatically detect and characterize malign…

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