Work

Accuracy of artificial intelligence-based simulation for assessing lung vessels and volume using unenhanced computed tomography

Year: 2025

Type: article

Study design: Observational Study

Source: European Journal of Cardio-Thoracic Surgery

DOI: 10.1093/ejcts/ezae449

Authors: Kentaro Fukuta, Yoshihisa Shimada, Yuki Nagamatu, Ryosuke Amemiya, Tomokazu Oomori, Hideyuki Furumoto, Yujin Kudo, Taro Oba, Masaru Hagiwara, Masatoshi Kakihana, Jinho Park, Tatuso Ohira, Norihiko Ikeda

Institution: Tokyo Medical University

Language: English

Topic: Lung Cancer Diagnosis and Treatment

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4408746261

FWCI: 1.765

Cites:

Cited by: 3

Related to: 10