Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.

Abstract

Authors

• Menghui Jiang
  School of Medicine, University of New Mexico, Albuquerque, NM, USA.
• Chelin Jamie Hu
  College of Nursing, University of New Mexico College of Nursing, Albuquerque, NM, USA.
• Cassie L Rowe
  School of Medicine, University of New Mexico, Albuquerque, NM, USA.
• Huining Kang
  School of Medicine, University of New Mexico, Albuquerque, NM, USA.
• Xi Gong
  Department of Geography & Environmental Studies, University of New Mexico, Albuquerque, NM, USA.
• Christopher P Dagucon
  Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, NM, USA.
• Jialiang Wang
  School of Medicine, University of New Mexico, Albuquerque, NM, USA.
• Yan Lin
• Akshay Sood
  1 Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI. 2 Kidney and Urology Institute, Medanta, Medicity, Gurgaon, India. 3 Department of Anesthesiology, Medanta, Medicity, Gurgaon, India.
• Yan Guo
  State Key Laboratory of Pathogen and Biosecurity, Beijing 100071, China.
• Yiliang Zhu
  School of Medicine, University of New Mexico, Albuquerque, NM, USA.
• Neil E Alexis
  Center for Environmental Medicine Asthma and Lung Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
• Frank D Gilliland
  Department of Preventive Medicine, University of Southern California, 2001 N. Soto Street, MC-9234, Los Angeles, CA, 90089, USA.
• Steven A Belinsky
  University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA.
• Xiaozhong Yu
  College of Nursing, University of New Mexico College of Nursing, Albuquerque, NM, USA. XiYu@salud.unm.edu.
• Shuguang Leng
  School of Medicine, University of New Mexico, Albuquerque, NM, USA. sleng@salud.unm.edu.

Keywords

External Resources