When a large amount of digital skin images are available, it becomes possible to develop a deep learning algorithm that can assist with detection and diagnosis of skin cancer.
AI could automate detection of dermoscopic details, for example. And computer-aided ABCDE scoring can help doctors identify whether a skin lesion is benign or malignant.
What’s more, in the future, AI could provide medical advice to general practitioners when performing a first screening. The algorithm could provide risk scores and advise general practitioners to refer the patient to a dermatologist or do the follow-up themselves. It means that dermatologists can give priority to high-risk patients.
This can help put an end to patient waiting times of three months or longer. When you know that health outcomes depend on early detection, this can potentially save lives.