Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.

Journal: Journal of clinical medicine
Published Date:

Abstract

Artificial intelligence (AI) is reshaping precision medicine by revealing diagnostic links between ocular biomarkers and systemic musculoskeletal disorders. This review synthesizes clinical evidence on the associations between optical coherence tomography (OCT)-derived parameters, such as retinal nerve fiber layer (RNFL) thinning and choroidal thickness, and conditions including osteoporosis, cervical spine instability, and inflammatory arthritis. The findings, based on an analysis of studies that integrate AI with ocular and musculoskeletal imaging, highlight consistent correlations between ocular microstructural changes and systemic degenerative pathologies. These results suggest that the eye may serve as a non-invasive window into biomechanical dysfunction. This review also discusses the emerging role of AI-assisted surgical systems informed by ocular metrics. Overall, AI-driven ocular analysis offers a promising avenue for early detection and management of musculoskeletal disease, supporting its clinical relevance and interdisciplinary potential.

Authors

  • Rahul Kumar
  • Chirag Gowda
    Miller School of Medicine, University of Miami, Miami, FL 33146, USA.
  • Tejas C Sekhar
    Rush Medical College, Chicago, IL, United States.
  • Swapna Vaja
    Rush Medical College, Chicago, IL, United States.
  • Tami Hage
    Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Kyle Sporn
    Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
  • Ethan Waisberg
    University College Dublin School of Medicine, Belfield, Dublin, Ireland. Electronic address: ethan.waisberg@ucdconnect.ie.
  • Joshua Ong
  • Nasif Zaman
    Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, Nevada, United States.
  • Alireza Tavakkoli
    Department of Computer Science and Engineering, University of Nevada School of Medicine, Reno, NV 89557, USA.

Keywords

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