Diagnosing orthopaedic infection by identifying neutrophils in whole histology slide images with machine learning trained on publicly available datasets

Key Points

• The main aim is to use machine learning to identify neutrophils in histology slides to help diagnose orthopedic infections.
• Trained a machine learning model on publicly available datasets.
• Analyzed whole histology slide images from revision surgeries.
• Tested model's ability to identify neutrophils in tissue samples.
• The model successfully identifies neutrophils in histology images.
• Findings may assist in diagnosing periprosthetic infections.
• Further improvements are needed for greater diagnostic accuracy.