A clinical study on optimizing single-lung ventilation intubation strategies assisted by artificial intelligence-based three-dimensional bronchial reconstruction

INTERVENTION: experimental group:Intubation for one?lung ventilation was performed using an AI?based three?dimensional bronchial reconstruction?assisted strategy.;Control group :Conventional double?lumen tube intubation strategy ; CONDITION: Pulmonary neoplasms PRIMARY OUTCOME: Rate of successful placement of the lung isolation device on the first attempt; SECONDARY OUTCOME: Time for tube placement and positioning;Incidence of =2 intraoperative repositioning attempts; Intraoperative bronchospasm;Tracheobronchial mucosal injury.;Quality of lung collapse; INCLUSION CRITERIA: 1. Age 18‐70 years; 2. ASA physical status class I‐III; 3. Scheduled for elective thoracoscopic surgery on the lung, mediastinum, or esophagus, with planned intraoperative one‐lung ventilation; 4. Complete preoperative thin‐slice chest CT imaging data available; 5. Normal communication ability and voluntary participation in this study.