Enhancing Efficiency with an AI-Augmented Clinician in Neurology.

Journal: Aging and disease
Published Date: Nov 2, 2024

Abstract

Integrating artificial intelligence (AI) technologies into neurology promises increased patient access, engagement, and quality of care, as well as improved quality of work life for clinicians. While most studies have focused on comparing AI models to expert performance, we argue for a more practical approach: demonstrating how AI can augment clinical practice. This article presents a framework for pragmatic AI augmentation, addressing the shortage in neurology practices, exploring the potential of AI in opportunistic screening, and encouraging the concept of AI serving as a "co-pilot" in neurology. We discuss recommendations for future studies designed to emphasize human-computer collaboration, ensuring AI enhances rather than replaces clinical expertise.

Authors

  • Krish Kapadia
    Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
  • Sanskriti Ruwali
    Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
  • Tanvi Malav
    Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
  • Sridhar Seshadri
    Gies College of Business and Carle Illinois College of Medicine, University of Illinois at Urbana Champaign, Champaign, IL 61820, USA.
  • Abraham Seidmann
    Questrom School of Business, Boston University, Boston, MA 02215, USA.
  • Daniel Z Press
    Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
  • Vijaya B Kolachalama
    1Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118 USA.

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