Authors - Shiva Jyoti, Samriddhi Ganguly, B Sri Soumya, Nachiyappan S Abstract - This paper presents a comprehensive study on the Clinical Readiness Score (CRS), a structured evaluation metric for assessing AI models used in lung cancer diagnosis. The CRS incorporates multiple criteria such as interpretability, efficiency, clinical validation, and accuracy, employ- ing the Analytic Hierarchy Process (AHP) for weight assignments. This study discusses the methodology behind CRS, validates its consistency, and explores its practical implications. Additionally, graphical represen- tations of AHP weight distribution, sensitivity analysis, and CRS factor contributions are provided for better comprehension.
