Artificial intelligence-assisted metastasis and prognosis model for patients with nodular melanoma.

Journal: PloS one
PMID:

Abstract

OBJECTIVE: The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.

Authors

  • Chan Xu
    State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China.
  • Xiaoyu Yu
    Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
  • Zhendong Ding
    Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Caixia Fang
    Department of Pharmacy, Qingyang City People's Hospital, Qingyang, China.
  • Murong Gao
    Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing, China.
  • Wencai Liu
    Department of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
  • Xiaozhu Liu
    Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Chengliang Yin
    Faculty of Medicine, Macau University of Science and Technology, Macau, People's Republic of China.
  • Renjun Gu
    School of Chinese Medicine & School of Integrated Chinese and Western Medicine, Nanjing, University of Chinese Medicine, Nanjing, China.
  • Lu Liu
    College of Pharmacy, Harbin Medical University, Harbin, China.
  • Wenle Li
    Guangxi University of Chinese Medicine, Nanning, 530000, People's Republic of China.
  • Shi-Nan Wu
    Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
  • Bei Cao
    Department of Thyroid Surgery, The Affiliated Hospital, Southwest Medical University, Luzhou, China.