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

Key Points

• This research aims to evaluate the effectiveness of AI-assisted decision-making software in diagnosing pulmonary nodules.
• Evaluated AI-assisted decision-making software during CT imaging of pulmonary nodules
• Focused on a resource-limited clinical setting
• Assessed the impact on referral pathways for intermediate-risk cases
• Emphasized the need for prospective studies and histopathological confirmation
• AI-assisted software demonstrated significant improvement in diagnostic accuracy
• Strengthening referral pathways exhibited potential benefits for clinical decision-making
• Highlighting the necessity for real-world studies to validate findings further

Abstract