Artificial Intelligence in Thoracic Disease: From Bench to Bed

Posted On 2021-12-30 17:40:52

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.

Editorial on Artificial Intelligence in Thoracic Disease: From Bench to Bed
Artificial intelligence in thoracic diseases: the next technology to improve individual precision medicine
Hengrui Liang, Jianxing He

Review Article on Artificial Intelligence in Thoracic Disease: From Bench to Bed
Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology
Yisak Kim, Ji Yoon Park, Eui Jin Hwang, Sang Min Lee, Chang Min Park

Artificial intelligence in thoracic surgery: a narrative review
Valentina Bellini, Marina Valente, Paolo Del Rio, Elena Bignami

Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review
Santino R. Rellum, Jaap Schuurmans, Ward H. van der Ven, Susanne Eberl, Antoine H. G. Driessen, Alexander P. J. Vlaar, Denise P. Veelo

Artificial intelligence assisted display in thoracic surgery: development and possibilities
Zhuxing Chen, Yudong Zhang, Zeping Yan, Junguo Dong, Weipeng Cai, Yongfu Ma, Jipeng Jiang, Keyao Dai, Hengrui Liang, Jianxing He

A narrative review of artificial intelligence-assisted histopathologic diagnosis and decision-making for non-small cell lung cancer: achievements and limitations
Yongzhong Li, Donglai Chen, Xuejie Wu, Wentao Yang, Yongbing Chen

Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review
Jingwei Li, Jiayang Wu, Zhehao Zhao, Qiran Zhang, Jun Shao, Chengdi Wang, Zhixin Qiu, Weimin Li

Application of artificial intelligence in COVID-19 medical area: a systematic review
Zhoulin Chang, Zhiqing Zhan, Zifan Zhao, Zhixuan You, Yang Liu, Zhihong Yan, Yong Fu, Wenhua Liang, Lei Zhao

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.