AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Ex-Smokers

Showing 1 to 2 of 2 articles

Clear Filters

Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT.

The Lancet. Digital health 33328058
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the community. Thoracic CT scans are widely used for diagnostic and screening purposes for lung cancer. In this proof-of-concept study, we aimed to evaluate a software pipe...
Aged Area Under Curve Artificial Intelligence Canada Cohort Studies Data Analysis Disease Progression Ex-Smokers Female Humans Image Processing, Computer-Assisted Lung Lung Neoplasms Male Mass Screening Middle Aged Models, Biological Neural Networks, Computer Pulmonary Disease, Chronic Obstructive Risk Assessment ROC Curve Smokers Smoking Tomography, X-Ray Computed
View on PubMed DOI

Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole-slide images.

Cancer medicine 32400056
BACKGROUND: It is unclear whether clinical factors and immune microenvironment (IME) factors are associated with tumor mutation burden (TMB) in patients with nonsmall cell lung cancer (NSCLC).
Adenocarcinoma Adult Aged Aged, 80 and over Antigens, Neoplasm B7-H1 Antigen Carcinoembryonic Antigen Carcinoma, Non-Small-Cell Lung Carcinoma, Squamous Cell Ex-Smokers Exome Sequencing Female Forkhead Transcription Factors Humans Keratin-19 Lung Neoplasms Lymphocytes, Tumor-Infiltrating Machine Learning Male Middle Aged Mutation Non-Smokers Regression Analysis Smokers Tumor Microenvironment
View on PubMed DOI
Popular Topics
Recent Journals