Enhancing Lung Cancer Screening Efficacy: A Comparative Analysis of YOLO in an AI-based Pipeline

Early detection of lung cancer is critical to improve patient outcomes. In this review, the You Only Look Once (YOLO) deep learning object detection algorithm within AI pipelines for lung cancer screening will be evaluated. Such as automated nodule detection, real-time processing on chest CT scans and potentially improved sensitivity compared to traditional methods are provided by YOLO. Nonetheless, it is necessary to resolve issues such as imprecise localisation of small nodules and false positives. This review also highlights the integration of YOLO into AI pipelines for lung cancer finding, data quality considerations, bias mitigation, and radiologists’ role in interpreting YOLO predictions. Lung cancer screening efficiency and accuracy can be enhanced, possibly saving lives by early detection and refining YOLO to effectively integrate it within AI pipelines.