AI-assisted assessment of fall risk in multiple sclerosis: A systematic literature review.

Journal: Multiple sclerosis and related disorders

PMID: 39447248

Abstract

BACKGROUND: Multiple sclerosis (MS) is an autoimmune disease that can increase the risk of falls in patients due to various factors. Traditional clinical assessments may not effectively identify those at risk of falling.

Authors

Somayeh Mehrlatifan

Department of Sports Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, Iran. Electronic address: mehrlatifansomayeh@gmail.com.
Razieh Yousefian Molla

Department of Sports Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, Iran. Electronic address: raziehyousefianmolla@gmail.com.

Keywords

Accidental Falls Artificial Intelligence Humans Machine Learning Multiple Sclerosis Risk Assessment

External Resources

View on PubMed Access via DOI PubMed (39447248)

AI-assisted assessment of fall risk in multiple sclerosis: A systematic literature review.

Abstract

Authors

Keywords

External Resources

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