Bronchoalveolar Lavage as a Candidate for Artificial Intelligence Integration: Insights into Differential Cell Count and Golde Score Using Conventional Cytology Smears

The study demonstrates the potential of AI-supported methods for BAL analysis in diagnostic cytology. The high accuracy in recognizing cell types and calculating the Golde score underlines the benefits of expanding the training data for broader clinical applications. Further research is encouraged to support the use of digital cytology on conventional smears in clinical practice.