Peer-Reviewed Publication
Pathol Res Pract2026;283156493.July 1, 2026Journal Article

Artificial Intelligence for histopathological diagnosis and grading of breast cancer in Ethiopia.

Tewodros Yalew Gebremariam1, Constance Boissin2, Amanuel Demie Jiffar3, Wenwen Sun4, Moti Sori5, Tove Ekdahl Hjelm6, Mathewos Assefa7, Endale Anberber8, Marcus Bauer9, Bethlehem Getachew Ayele10, Johan Hartman11, Jenny Löfgren12, Mattias Rantalainen13, Senait Ashenafi14
1Department of Pathology, School of Medicine, College of Health Sciences,Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden. Electronic address: tewodros.yalew.gebremariam@ki.se.
2Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden. Electronic address: constance.boissin@ki.se.
3Department of Pathology, School of Medicine, College of Health Sciences,Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia. Electronic address: amanuel.demie@aau.edu.et.
4Department of Oncology-Pathology, Karolinska Institutet, Stockholm 171 77, Sweden. Electronic address: wenwen.sun@ki.se.
5Department of Pathology, School of Medicine, College of Health Sciences,Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia. Electronic address: moti.sori@aaa.edu.et.
6Department of Molecular Medicine and Surgery, Karolinska Institutet, K1 Molekylär medicin och kirurgi, K1 MMK Kärlkirurgi, Stockholm 171 76, Sweden; Department of Oncology, Södersjukhuset, Stockholm, Sweden. Electronic address: Tove.ekdahl.hjelm@ki.se.
7Department of Oncology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia. Electronic address: mathewos.assefa@aau.edu.et.
8Department of Surgery, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia. Electronic address: endale.anberber@aau.edu.et.
9Institute of Pathology, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Straße 14, Halle (Saale) 06112, Germany. Electronic address: marcus.bauer@uk-halle.de.
10Department of Oncology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia. Electronic address: bethlehem.getachewa@aau.edu.et.
11Department of Oncology-Pathology, Karolinska Institutet, Stockholm 171 77, Sweden. Electronic address: johan.hartman@ki.se.
12Department of Molecular Medicine and Surgery, Karolinska Institutet, K1 Molekylär medicin och kirurgi, K1 MMK Kärlkirurgi, Stockholm 171 76, Sweden; Department of Reconstructive Plastic Surgery, Karolinska University Hospital, Stockholm, Sweden. Electronic address: jenny.lofgren@ki.se.
13Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden. Electronic address: mattias.rantalainen@ki.se.
14Department of Pathology, School of Medicine, College of Health Sciences,Tikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia; Affiliate Karolinska Institute, Stockholm, Sweden. Electronic address: senait.ashenafi@aau.edu.et.

Abstract

BACKGROUND: Recent advances in computational pathology enables AI-assisted diagnosis and risk stratification of breast cancer. This advance in technology will reduce the inconsistent reporting of breast cancer grading using Nottingham Histologic grading system. This study evaluated the implementation of the DeepGrade model for breast cancer grading using H&E-stained slides from breast cancer patie…

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