Artificial intelligence and its applications are a revolutionary step in helping doctors and patients early detection of skin cancer, as it may outperform traditional tests in the accuracy of detection sometimes.
Experts work in revealing the role of artificial intelligence models in diagnosing skin cancer, according to a report published by the Washington Post, as it contributes to improving the accuracy of the diagnosis and helps doctors make better treatment decisions.
This technique may be especially useful for people who cannot afford the costs of frequent visits to the dermatologist or those who live in rural areas where they lack easy access to medical examinations.
In a study conducted in 2017 and published in the Nature Journal (Nature), a model of artificial intelligence was able to outperform 21 dermatologists in diagnosing skin cancer using more than 129 thousand pictures.
Evolution in examining the skin using artificial intelligence
Healthcare providers use small smart intelligence devices to examine moles or skin lesions, which helps them to assess the most common types of skin cancer such as melanoma and basal cell cancer, and then reduce the need to take unnecessary biopsies and referrals.
These devices allow non -dermatologists to perform skin examinations during routine visits, which makes the early detection process faster and easier.
Some medical centers use 3D scanners to photograph patients at risk of skin cancer and monitor them. On the other hand, there is still some concern about the inaccurate results of these techniques, although they have sufficiently tested on different types and colors of the skin.
The new techniques lack a look at the doctor who will conduct an examination of the patient, and will ask him questions about the pests that appear on and examine his body, and this was confirmed by Veronica Rogelg, a dermatologist at the Memorial Celed Citment Cancer Center in New York State, when she said that “medicine is not limited to just looking at a picture.”
Doctors warn against relying on some applications to diagnose skin cancer, as many of these tools were not subject to the required organizational tests, and do not provide sufficient data that support the effectiveness of their allegations. Doctors also direct warnings about the use of tools such as Chatgpt to analyze skin spots, as the effectiveness of these models has not been proven in accurate diagnosis.