MEPNet tackles the challenge of automatically generating accurate brain CT reports by solving the problem of biased learning of medical entities.

• Addresses inconsistent spatial patterns of medical entities in 3D brain scans
• Improves report accuracy by focusing on balanced representation of anatomical regions and lesions
• Reduces common problems of repetitiveness and inaccuracy in AI-generated medical reports
• Potential to significantly assist radiologists in diagnosing cranial diseases

This research represents an important advancement in medical AI, offering potential for improved clinical workflow efficiency and diagnostic support in radiology departments.

MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation