Label-free Femtosecond Laser Imaging Combined With the Fast Lung Artificial Intelligence Model for Rapid Intraoperative Diagnosis of Lung Surgical Specimens: A Multicentre, Prospective, Parallel-workflow, Non-inferiority Study.

Inclusion Criteria: 1. Preoperative imaging suggests a pulmonary nodule, pulmonary space-occupying lesion, or suspected pulmonary tumor lesion. 2. The participant is scheduled to undergo pulmonary wedge resection, segmentectomy, lobectomy, or other pulmonary surgery. 3. Fresh lung tissue specimens can be obtained intraoperatively for femtosecond laser imaging. 4. Intraoperative frozen section diagnosis is planned to assess the nature of the tumor lesion. 5. Corresponding postoperative paraffin-embedded pathological diagnosis can be obtained. 6. The participant or the participant's legally authorized representative has signed the written informed consent form. 7. Patients had not received any antitumor treatment prior to enrollment or specimen collection, including chemotherapy, radiotherapy, targeted therapy, immunotherapy, or other systemic anticancer treatments. Exclusion Criteria: 1. The intraoperative specimen is insufficient and cannot simultaneously meet the requirements for routine clinical pathological diagnosis and research-related testing. 2. The specimen shows severe carbonization, necrosis, compression, contamination, or improper preservation, and the investigator determines that effective imaging cannot be completed. 3. The femtosecond laser imaging specimen cannot be matched with the corresponding lesion assessed by final paraffin pathology. 4. Final paraffin-embedded pathological diagnosis cannot be obtained. 5. The participant withdraws informed consent. 6. Other conditions that, in the opinion of the investigator, make the participant unsuitable for this study.