A multicenter validation study showed that AI-assisted lung ultrasound is as efficient as the most experienced sonographers.Lung ultrasound is a diagnostic tool that can detect respiratory illnesses.Traditionally, the effectiveness has depended on the skill set of the sonographer.AI technology can bridge the gap and democratize the use of advanced imaging techniques.By providing real-time assistance and feedback, AI can lower the barrier for effective diagnosis.AI-assisted imaging results can be equivalent to that of seasoned professionals.AI can change the educational curve of healthcare professionals when utilizing lung ultrasound.Lung diseases remain a significant global health challenge.AI can broaden the reach of imaging services, allowing early identification and management of lung conditions, leading to better patient outcomes.Ethical considerations surrounding the implementation of AI in healthcare are also crucial.