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Invitation to Participate and Share: SHADE‑AI Clinician Survey
On behalf of the SHADE-AI Study research team and Professor Eric Chow from Melbourne Sexual Health Centre, you are invited to participate in this research survey. The researchers would also greatly appreciate it if you could forward this to relevant colleagues or put the QR code in common areas.
About the Study
The SHADE-AI Study (Sexual Health Anogenital Diagnosis Enhancement through Artificial Intelligence) is investigating whether AI-assisted decision support can improve clinicians’ diagnostic accuracy when assessing anogenital skin conditions.
Our ethics approval covers national recruitment in Australia. We have obtained ethics exemptions in New Zealand, the UK, and the US, which enable us to recruit participants in those countries. We also obtained the ethics approval for Sri Lanka from the University of Colombo (ERC/PGIM/2025/265).
Eligible Participants
We are seeking doctors and nurse practitioners currently practising in:
- Dermatology
- General practice
- HIV medicine
- Sexual health
- Infectious diseases
- Venereology
- Urology
- Hospital settings
What’s Involved?
Participants will review 6 de-identified clinical images, provide their diagnoses, and then see AI-generated suggestions.
The survey is anonymous and takes approximately 10 minutes to complete. Participants will receive educational feedback with the correct diagnoses at the end.
Thank you for your time and support.
On behalf of the SHADE-AI team:
- Prof Eric Chow (Monash University and MSHC, Australia)
- Dr Nyi Nyi Soe (Monash University and MSHC, Australia)
- Dr Rose Forster (Auckland Sexual Health, New Zealand)
- Dr Stephanie McLaughlin (University of Washington, USA)
- Dr Ming Lee (Imperial College London, UK & Canberra Sexual Health Centre, Australia)
- Prof Matthew Phillips (British Association for Sexual Health and HIV)
- Dr Danushi Wijekoon (Sri Lanka)
- Prof Henry de Vries (University of Amsterdam)
