AI in Sexual Health (SHADE-AI)
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.
How can you help?We would be grateful if you could:- Participate in this survey
- Forward this email to eligible clinicians within your network.- Display the attached poster, which includes a QR code, in staff areas or common rooms (subject to clinic policy).- Share the survey link through your department's communication channels or social media platforms.Eligible
ParticipantsWe are seeking doctors and nurse practitioners currently practising in: Dermatology, General practice, HIV medicine, Sexual health, Infectious diseases, Venereology, Urology, or 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.
Survey Link: https://go.unimelb.edu.au/iva2
On behalf of the Study team,
Prof Eric P.F. Chow (https://research.monash.edu/en/persons/eric-chow/)
Dr Nyi Nyi Soe (https://research.monash.edu/en/persons/nyi-nyi-soe/)
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