Artificial intelligence for disparities in knee pain assessment

被引：0
|
作者：
Said A. Ibrahim
机构：
[1] Weill Cornell Medicine,Division of Healthcare Delivery Science & Innovation, Department of Population Health Sciences
来源：
Nature Medicine | 2021年 / 27卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An algorithm developed through machine learning on existing radiological data from diverse people has the potential to improve the diagnosis and management of knee pain from osteoarthritis and reduce racial disparities in the assessment of knee pain.
引用
收藏
页码：22 / 23
页数：1
相关论文
共 50 条
  • [31] Artificial intelligence and pain management: cautiously optimistic
    Srinivasan, Bhargav
    Venkataraman, Archana
    Raja, Srinivasa N.
    PAIN MANAGEMENT, 2024, 14 (07) : 331 - 333
  • [32] Use of artificial intelligence in the field of pain medicine
    Chang, Min Cheol
    WORLD JOURNAL OF CLINICAL CASES, 2024, 12 (02)
  • [33] The assessment: artificial intelligence and financial services
    Bholat, David
    Susskind, Daniel
    OXFORD REVIEW OF ECONOMIC POLICY, 2021, 37 (03) : 417 - 434
  • [34] Artificial intelligence for the assessment of bowel preparation
    Lee, Ji Young
    Calderwood, Audrey H.
    Karnes, William
    Requa, James
    Jacobson, Brian C.
    Wallace, Michael B.
    GASTROINTESTINAL ENDOSCOPY, 2022, 95 (03) : 512 - 518
  • [35] Ethics, Artificial Intelligence, and Risk Assessment
    Spivak, Benjamin L.
    Shepherd, Stephane M.
    JOURNAL OF THE AMERICAN ACADEMY OF PSYCHIATRY AND THE LAW, 2021, 49 (03): : 335 - 337
  • [36] Pandemic policy assessment by artificial intelligence
    Song, Sirui
    Liu, Xue
    Li, Yong
    Yu, Yang
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [37] Online assessment in the age of artificial intelligence
    Alexander Stanoyevitch
    Discover Education, 3 (1):
  • [38] Artificial Intelligence for chemical risk assessment
    Wittwehr C.
    Blomstedt P.
    Gosling J.P.
    Peltola T.
    Raffael B.
    Richarz A.-N.
    Sienkiewicz M.
    Whaley P.
    Worth A.
    Whelan M.
    Computational Toxicology, 2020, 13
  • [39] Enhancing peer assessment with artificial intelligence
    Topping, Keith J.
    Gehringer, Ed
    Khosravi, Hassan
    Gudipati, Srilekha
    Jadhav, Kaushik
    Susarla, Surya
    INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION, 2025, 22 (01):
  • [40] Pandemic policy assessment by artificial intelligence
    Sirui Song
    Xue Liu
    Yong Li
    Yang Yu
    Scientific Reports, 12
12345