The goal of this clinical trial is to learn if Generative AI Based Puncture Surgery Navigation System (GPS) can guide lung puncture in adults better. It will also learn about the quality improvement of cone beam CT (CBCT) by GPS. The main questions it aims to answer are: * Does GPS lower the number of punctures, radiation dose, and complications of participants undergo percutaneous lung puncture? * Does GPS improve the quality of CBCT images? Researchers will compare GPS to a conventional CBCT guided percutaneous lung puncture to see if GPS can improve the efficacy of lung puncture. Participants will: * Take the percutaneous lung puncture by the guidance of GPS or conventional CBCT (placebo) * The number of punctures, the success rate of the procedure, the radiation dose, intraoperative complications and postoperative complications at 7 days will be recorded * The images of CBCT will be collected
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Number of puncture needles of participants for GPS and CBCT-guided lung puncture procedures.
Timeframe: From enrollment to the end of the lung puncture procedure.