Autonomous AI could create capacity for thousands more dermatology appointments, real-world study finds
A real-world study of 8,391 patients found that autonomous artificial intelligence (AI) could free up enough clinical capacity to provide more than 8,500 additional face-to-face dermatology appointments across two U.K. hospitals over 16 months.
An extensive real-world study involving 8,391 patients has revealed that deploying autonomous artificial intelligence (AI) in urgent skin cancer pathways could significantly boost dermatology capacity. By automating the triage process, the AI system enables clinicians to attend to patients who truly require specialist care, allowing for the management of an additional 8,500 face-to-face dermatology appointments over a span of 16 months.
The AI medical device, CE-marked and proven to be safe and effective, classified patients' skin lesions based on clinical and dermoscopic smartphone images. It autonomously discharged benign cases while referring more serious ones to teledermatologists for review. This AI-supported pathway successfully discharged 25-31% of patients without clinician review, resulting in a reduction of 27% in routine follow-ups and a decrease in biopsy rates from 43% to 27%.
The study, presented at the European Academy of Dermatology and Venereology (EADV) Congress 2026, demonstrates that autonomous AI can unlock additional specialist capacity, enabling dermatologists to prioritize patients with severe conditions such as skin cancer and inflammatory skin diseases, ultimately improving patient outcomes and quality of life.
Dr. Lucy Thomas, the lead author of the study, emphasized that the real value of autonomous AI lies in the capacity it creates for specialists, rather than replacing them altogether.
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