• AI-based imaging analysis achieves high sensitivity and specificity in lung nodule detection, reducing false positives and aiding early diagnosis.
• Integration of AI with genomic and pathological data enables personalized treatment recommendations, improving patient outcomes.
• Natural language processing facilitates extraction of clinical information from unstructured data, enhancing research and decision support.
• Despite potential, AI adoption faces barriers including data standardization, interpretability, and ethical concerns, requiring rigorous validation and governance.