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Validating a dermatology AI algorithm using referral images

Year:
2024
Duration:
6 months
Approved budget:
$69,238.00
Researchers:
Dr Hamish Wu
,
Honorary Professor Amanda Oakley
,
Associate Professor Michael Jameson
,
Ms Hina Pokaia
Host:
Health New Zealand - Waikato
Proposal type:
Health Delivery Research Development Award
Lay summary
Our research aims to revolutionise dermatological care in New Zealand by validating an innovative digital dermatology hospital powered by artificial intelligence, AIPDerm® (see aipderm.com), and potentially, its competitors. Health NZ faces a dire shortage of dermatologists, leading to prolonged wait times to respond to referrals, if dermatology is offered at all. We aim to validate the differential diagnostic accuracy of AI using thousands of images of common skin conditions, comparing the dermatologist's diagnosis with the machine. If the diagnostic tool is accurate, we will improve the efficiency, timeliness, and quality of dermatological diagnosis, care plans, and patient information. Our goal is to demonstrate the potential of AI to support patient-centric care and address health inequities, ensuring faster, more accurate dermatological assessments for all New Zealanders.