Ewen McAlpine

Ewen McAlpine

MBBCh, FCPath (SA), MMed, PhD

Medical Doctor and Researcher

About me

I’m Ewen, a medical doctor, histopathologist and health sciences researcher. I have experience working in both public and private healthcare settings.

I completed my PhD at the University of the Witwatersrand where I studied the effectiveness of using Generative Artificial Intelligence in pathology teaching and training by augmenting real-world pathology images with synthetically created image data when real samples are scarce.

I have published extensively in well respected peer-reviewed journals including Acta Cytologica, Advances in Anatomic Pathology, American Journal of Clinical Pathology, Cytopathology, Histopathology and Journal of the American Society of Cytopathology.

I have also peer reviewed manuscripts for prominent journals including Acta Cytologica, American Journal of Clinical Pathology, Cytopathology, Journal of Clinical Medicine, Journal of Clinical Pathology, Laboratory Investigation and Modern Pathology.

I have extensive experience in teaching undergraduate and postgraduate health science students and supervising postgraduate medical research.


Doctor of Philosophy (PhD)
University of the Witwatersrand

Master of Medicine (MMed)
University of the Witwatersrand

Fellow of the College of Pathologists (FCPath)
Colleges of Medicine of South Africa

Bachelor of Medicine and Bachelor of Surgery (MBBCh)
University of the Witwatersrand


Histopathology and Cytopathology

Medical Research

Medical Writing and Manuscript Review

Machine Learning and Artificial Intelligence in Python

Teaching, Lecturing and Medical Education


Are synthetic cytology images ready for prime time? A comparative assessment of real and synthetic urine cytology images.
McAlpine E, Michelow P, Liebenberg E, Celik T
Journal of the American Society of Cytopathology. 2023. 12:126-135

Is it real or not? Toward artificial intelligence-based realistic synthetic cytology image generation to augment teaching and quality assurance in pathology.
McAlpine E, Michelow P, Liebenberg E, Celik T
Journal of the American Society of Cytopathology. 2022. 11:123-132

The Dynamics of Pathology Dataset Creation Using Urine Cytology as an Example.
McAlpine E, Michelow P, Celik T
Acta Cytologica. 2022. 66:46–54

The utility of unsupervised machine learning in Anatomic Pathology.
McAlpine E, Michelow P, Celik T
American Journal of Clinical Pathology. 2022. 157:5-14

Challenges Developing Deep Learning Algorithms in Cytology.
McAlpine E, Pantanowitz L, Michelow P
Acta Cytologica. 2021. 65:301–309

The cytopathologist’s role in developing and evaluating artificial intelligence in cytopathology practice.
McAlpine E, Michelow P
Cytopathology. 2020. 31: 385-392

Implementing Deep Learning Algorithms in Anatomical Pathology using open-source Deep Learning Libraries.
McAlpine E, Michelow P
Advances in Anatomic Pathology. 2020. 27: 260-268

HIV-associated Hodgkin lymphoma involving the bone marrow identifies a very high risk sub-population in the era of widescale Anti-retroviral therapy use in Johannesburg, South Africa.
Vaughan J, Perner Y, McAlpine E, Wiggill T
Journal of Acquired Immune Deficiency Syndromes. 2020. 83:345-349

Extraoral plasmablastic lymphomas in a high human immunodeficiency virus endemic area.
Meer S, Perner Y, McAlpine E, Willem P
Histopathology. 2020. 76: 212-221

Hue discrimination among pathologists using a computer‐based Farnsworth–Munsell 100‐hue test.
McAlpine E, Maritz R, Williams S
Histopathology. 2018. 73: 869-871