Visual Symptom Analysis

Visual Symptom Analysis is a methodological framework within symptom recognition that systematically identifies, interprets, and evaluates observable physiological or behavioral cues through visual inspection and perceptual data processing to differentiate pathological states from normal conditions.

43

Publications

1.6K

Citations

274

Authors

118

Institutions

Publications per year

2017–2026

13

Authors

274

  1. EB
    Eric Borsting

    Marshall B. Ketchum University, United States

    2 publications · 68 citations

    2

    h-index

  2. SA
    Stefanie A. Drew

    California State University, Northridge, United States

    2 publications · 31 citations

    2

    h-index

  3. SC
    Sorrel Cosens

    Queen Mary University of London, United Kingdom

    1 publications · 54 citations

    1

    h-index

  4. JC
    J. Claude Hemphill

    University of California, San Francisco, United States

    1 publications · 27 citations

    1

    h-index

  5. AS
    Alison Stubbings

    University of Birmingham, United Kingdom

    1 publications · 11 citations

    1

    h-index

1–5 of 274

Venues

  1. BMJ Open Ophthalmology

    2 publications · 58 citations

    2

    h-index

  2. Optometry and Vision Science

    2 publications · 68 citations

    2

    h-index

  3. Ophthalmic and Physiological Optics

    OPO · 2 publications · 180 citations

    2

    h-index

  4. Cephalalgia

    2 publications · 143 citations

    2

    h-index

  5. Virtual Reality

    1 publications · 23 citations

    1

    h-index

1–5