A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

【Backgrounds】 In 2015, the First Affiliated Hospital of Guangzhou Medical University, in collaboration with the Guangdong Hetaoxiang Medical Charity Foundation and the Guangzhou Charity Association, ...

The California Technology Assessment Forum is requested to review the scientific evidence for the use of low dose spiral computerized tomography (LDCT) as a modality for lung cancer screening. This is ...

Background: Diagnosing acute exacerbation of chronic obstructive pulmonary disease (AECOPD) remains challenging in clinical practice. Computed tomography (CT) plays a great role in characterizing and ...

Worsening air pollution globally is causing lung cancer rates to rise everywhere. A look at Taiwan, where a majority of new cases affects non-smokers, offers powerful lessons for the rest of the world ...

Neoadjuvant Chemotherapy in Colon Cancer: More Than Just an Optical Illusion In the article that accompanies this editorial, Jemaa et al 12 present a machine learning model for the reading and ...