A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment.

Journal: The Thoracic and cardiovascular surgeon

PMID: 39591993

Abstract

BACKGROUND: Lung cancer is the most prevalent and lethal cancer globally, necessitating accurate differentiation between benign and malignant pulmonary nodules to guide treatment decisions. This study aims to develop a predictive model that integrates artificial intelligence (AI) analysis with biomarkers to enhance early detection and stratification of lung nodule malignancy.

Authors

Tao Zhou

Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ping Zhu

Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.
Kaijian Xia

Intelligent Medical Technology Research Center, Changshu Hospital Affiliated to Soochow University, Changshu, China.
Benying Zhao

Department of Cardiothoracic Surgery, Changshu Hospital Affiliated to Soochow University, Changshu, China.

Keywords

Aged Artificial Intelligence Biomarkers, Tumor Decision Support Techniques Female Humans Lung Neoplasms Male Middle Aged Multiple Pulmonary Nodules Neoplasm Invasiveness Predictive Value of Tests Reproducibility of Results Retrospective Studies Risk Factors Solitary Pulmonary Nodule Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (39591993)

A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment.

Abstract

Authors

Keywords

External Resources

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