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Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.
Peng, Sui; Liu, Yihao; Lv, Weiming; Liu, Longzhong; Zhou, Qian; Yang, Hong; Ren, Jie; Liu, Guangjian; Wang, Xiaodong; Zhang, Xuehua; Du, Qiang; Nie, Fangxing; Huang, Gao; Guo, Yuchen; Li, Jie; Liang, Jinyu; Hu, Hangtong; Xiao, Han; Liu, Zelong; Lai, Fenghua; Zheng, Qiuyi; Wang, Haibo; Li, Yanbing; Alexander, Erik K; Wang, Wei; Xiao, Haipeng.
Afiliación
  • Peng S; Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liu Y; Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First
  • Lv W; Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liu L; Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China.
  • Zhou Q; Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Yang H; Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Ren J; Department of Medical Ultrasonics, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liu G; Department of Medical Ultrasonics, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Wang X; Department of Medical Ultrasonics, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Zhang X; Department of Ultrasound, the Guangzhou Army General Hospital, Guangzhou, China.
  • Du Q; Xiaobaishiji, Beijing, China.
  • Nie F; Xiaobaishiji, Beijing, China.
  • Huang G; Xiaobaishiji, Beijing, China.
  • Guo Y; Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
  • Li J; Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liang J; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Hu H; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xiao H; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liu Z; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Lai F; Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Zheng Q; Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Wang H; Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Li Y; Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Alexander EK; Thyroid Section, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: ekalexander@bwh.harvard.edu.
  • Wang W; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. Electronic address: wangw73@mail.sysu.edu.cn.
  • Xiao H; Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. Electronic address: xiaohp@mail.sysu.edu.cn.
Lancet Digit Health ; 3(4): e250-e259, 2021 04.
Article en En | MEDLINE | ID: mdl-33766289
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Toma de Decisiones Asistida por Computador / Inteligencia Artificial / Diagnóstico por Computador / Nódulo Tiroideo / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Toma de Decisiones Asistida por Computador / Inteligencia Artificial / Diagnóstico por Computador / Nódulo Tiroideo / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Año: 2021 Tipo del documento: Article