Evaluating the diagnostic performance of artificial intelligence-assisted decision-making software for pulmonary nodules in a resource-limited setting.

AI-assisted DMS showed great potential in improving diagnostic performance for CT pulmonary nodule management in the resource-limited setting. Strengthening referral pathways for intermediate-risk cases might further support appropriate clinical decision-making and help align patient evaluation with available expertise. Continued prospective real-world studies with longitudinal follow-up and histopathological confirmation would contribute to expanding the evidence base and guiding its broader integration into routine clinical practice.