Experts and researchers emphasize the practical difficulties and recent breakthroughs in applying these deep reviews to real-world medical data.

Metrics like BLEU and ROUGE are used to measure accuracy, but they sometimes struggle to capture the full semantic meaning or clinical relevance of a caption.

The field is shifting toward Multimodal Large Language Models (MLLMs) to provide better reasoning and generative flexibility. Community Perspectives

Newer models like JAGAN (Joint Attention Generative Adversarial Nets) are introduced to ensure that the generated text maintains a professional "clinical language style". 📊 Key Challenges & Metrics