Generative artificial intelligence in depression research: A bibliometric analysis of WoSCC-Indexed literature - Scorecard - MDSpire

Generative artificial intelligence in depression research: A bibliometric analysis of WoSCC-Indexed literature

  • By

  • Hongfei Chen

  • Lin Chen

  • Jin Yang

  • Aifa Tang

  • Yafei Yang

  • May 25, 2026

  • 0 min

Share

Clinical Scorecard: The Role of Generative Artificial Intelligence in Depression Research: A Bibliometric Study of Literature Indexed in WoSCC

At a Glance

CategoryDetail
Condition
Key MechanismsRemove unsupported claims about GenAI and LLMs until sourced.
Target Population
Care Setting

Key Highlights

  • remove

Guideline-Based Recommendations

Diagnosis

    Management

    • E
    • n
    • s
    • u
    • r
    • e
    • t
    • r
    • e
    • a
    • t
    • m
    • e
    • n
    • t
    • r
    • e
    • c
    • o
    • m
    • m
    • e
    • n
    • d
    • a
    • t
    • i
    • o
    • n
    • s
    • a
    • r
    • e
    • s
    • o
    • u
    • r
    • c
    • e
    • d
    • f
    • r
    • o
    • m
    • c
    • l
    • i
    • n
    • i
    • c
    • a
    • l
    • g
    • u
    • i
    • d
    • e
    • l
    • i
    • n
    • e
    • s
    • .

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Individuals diagnosed with depression.

        LLMs can generate treatment recommendations and facilitate psychoeducation.

        Clinical Best Practices

        • remove

        Related Resources & Content

        Original Source(s)

        Related Content