Приоритет сотрудничества человека и ИИ в здравоохранении: рамки TRIAD для надежного управления, реальной клинической ценности и интегрированного адаптивного внедрения

  • role: First author第一作者
  • Affiliation:

    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

Jia Li1,  
  • Affiliation:

    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

Zi-Chun Zhou1,  
  • role: Corresponding author通信作者
  • Affiliation:

    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

    Department of Health Data Science, School of Medical Technology, Capital Medical University, Beijing 100050, China

    Precision and Intelligence Medical Imaging Lab, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

  • Email:cjr.wzhch@vip.163.com
  • Introduction:* Zhen-Chang Wang cjr.wzhch@vip.163.com
Zhen-Chang Wang123*,  
  • role: Corresponding author通信作者
  • Affiliation:

    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

    Department of Health Data Science, School of Medical Technology, Capital Medical University, Beijing 100050, China

    Precision and Intelligence Medical Imaging Lab, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

  • Email:chrislvhan@126.com
  • Introduction:Han Lv chrislvhan@126.com
Han Lv123*

реферат

Искусственный интеллект (ИИ) и большие данные меняют ландшафт здравоохранения. Однако клиническая ценность зависит от того, насколько хорошо системы помогают клиницистам и вписываются в рутинные рабочие процессы. С этой целью мы представляем рамки TRIAD: надежное управление, клиническая ценность в реальных условиях и интегрированное адаптивное внедрение для руководства разработкой, валидацией и внедрением клинического ИИ. TRIAD требует явного происхождения данных и целевого применения, проверки справедливости и калиброванной неопределенности. Эта структура оценивает команду человек-ИИ в реальных рабочих процессах с использованием метрик на уровне команды, включая точность, безопасность, нагрузку и шаблоны принятия, редактирования и переопределения. Внедрение происходит посредством поэтапных запусков с предварительно зарегистрированными ограничениями и постоянным мониторингом производительности и влияния на подгруппы. TRIAD рассматривает интеллект как свойство команды человек-ИИ, а не только модели ИИ. Согласование управления, оценки и внедрения вокруг клиницистов и пациентов обеспечивает прочные улучшения в безопасности, справедливости, эффективности и опыте, тем самым повышая клиническую ценность.

ключеви́че слова́

TRIAD;искусственный интеллект (ИИ);сотрудничество человека и ИИ;механизмы доверия;клиническая поддержка принятия решений

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