Artificial intelligence terminology, methodology, and critical appraisal: A primer for headache clinicians and researchers.

Journal: Headache
PMID: 39658951

Abstract

OBJECTIVE: The goal is to provide an overview of artificial intelligence (AI) and machine learning (ML) methodology and appraisal tailored to clinicians and researchers in the headache field to facilitate interdisciplinary communications and research.

Authors

  • Gina M Dumkrieger
    Department of Neurology, Mayo Clinic, Phoenix, Arizona, USA.
  • Chia-Chun Chiang
  • Pengfei Zhang
    Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese National Health Commission, Department of Cardiology, Qilu Hospital of Shandong University. N0.107 Wenhuaxi Road, Jinan, Shanodng Province, China. Electronic address: pengf-zhang@163.com.
  • Mia T Minen
    Department of Neurology, NYU Langone Health, New York, New York, USA.
  • Fred Cohen
    Center for Headache and Facial Pain, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Jennifer A Hranilovich
    Division of Child Neurology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA.

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