A Two‐Dimensional Plot of Cell Aggregates and Their Largest Nuclei Distinguishes Benign From Malignant Pleural Effusion Cytology Specimens

In pleural cytology specimens from patients with lung cancer, the degree of cell aggregation and nuclear overlap is an important factor for distinguishing benign from malignant lesions. Moreover, although AI-based image analysis has advanced rapidly in recent years, this study emphasizes the continued value of CAIA approaches that employ algorithms readily interpretable by humans.