We organized this special series to allow respiratory physicians and thoracic surgeons to better understand the artificial intelligence technology currently applied to thoracic diseases, grasp the cutting-edge artificial intelligence cross-research progress, and inspire more respiratory physicians and thoracic surgeons to participate in the development and design of artificial intelligence-related research. The ultimate goal is to allow patients to receive better quality personalized treatment, which will lead to a better prognosis.
Artificial intelligence in thoracic diseases: the next technology to improve individual precision medicine
Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology
Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review
A narrative review of artificial intelligence-assisted histopathologic diagnosis and decision-making for non-small cell lung cancer: achievements and limitations
Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review
The series “Artificial Intelligence in Thoracic Disease: From Bench to Bed” was commissioned by the Editorial office, Journal of Thoracic Disease without any sponsorship or funding. Hengrui Liang, Jianxing He served as the unpaid Guest Editors for the series.