―Object
The objective of this project is to improve the accuracy of diagnosis by using AI technology to convert 2D fluoroscopic images of the lesion into 3D in real-time, enabling the recognition of the \”front\” or \”back\” of the image and facilitating the guidance of the bronchoscope to the lesion.

―Effect
The bronchoscope radial can efficiently reach the lesion, which is expected to improve diagnostic accuracy, shorten the time required for X-ray fluoroscopy, and reduce the radiation dose to medical personnel, radiologists, and patients, thereby reducing the burden on the body. Currently, patients wait 4-5 weeks to undergo lung cancer surgery, but faster examination and lesion extraction could save many lives by enabling patients to undergo surgery sooner.