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AI reads social media posts to spot suicide risk in skin cancer patients

NCT ID NCT07670403

Completed Knowledge-focused Sponsor: West China Hospital Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study enrolled 500 skin cancer patients in China and analyzed over 1.2 million of their social media posts using artificial intelligence. The goal was to see if AI could detect signs of psychological distress and suicidal thoughts. Researchers hope this approach could lead to an early warning system for mental health crises in cancer patients.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to

If successful, this could lead to an AI tool that helps doctors spot mental health crises in skin cancer patients earlier, potentially saving lives.

What could go wrong

This is an observational study, not a treatment trial. The AI model may not work well in other languages or cultures, and privacy concerns around social media data are significant.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

basal cell carcinoma Head and Neck Neoplasms head and neck squamous cell carcinoma melanoma skin basal cell carcinoma skin cancer skin neoplasm Squamous Cell Carcinoma of Head and Neck Suicide Prevention

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BASAL CELL CARCINOMA OF SKIN MELANOMA (SKIN CANCER) SKIN CANCER SQUAMOUS CELL CARCINOMA HEAD AND NECK CANCER (HNSCC)

Contacts and locations

Locations

  • West China Hospital of Sichuan University

    Chengdu, Sichuan, China