How reproducible is AI-research in Veterinary Pathology?

Reproducibility in science is not a “nice to have”, but a prerequisite. However, reproducibility depends on accurate reporting of all relevant details of an experiment. This is especially important for machine learning, where each experiment is highly dependent on a multitude of parameters.

Sweta Banerjee investigated for the field of Veterinary Pathology and found that many factors that influence reproducibility are not reported well.

The results are now available in a new journal paper in the journal Veterinary Pathology:

Sweta Banerjee, Christof A. Bertram, Viktoria Weiss, Jonas Ammeling, Thomas Conrad, Nils Porsche, Robert Klopfleisch, Christoph Stroblberger, Christopher Kaltenecker, Katharina Breininger, Marc Aubreville: Reporting transparency in veterinary pathology deep learning: A systematic review of reproducibility-critical details. In: Veterinary Pathology, pp. 03009858261459452, 2026, ISSN: 0300-9858, 1544-2217.