Artificial Intelligence Beats Dermatologists In Diagnosing Skin Cancer
This modern technology is producing a major impact on healthcare. Different abroad teams like Germany, United States, and France lead a research in which Artificial Intelligence (AI) technology was asked to distinguish skin lesions (cancerous cells) from benign (normal) ones among 100,000 images. The Artificial Intelligence (AI) machine Convolutional Neural Network (CNN) and 58 other dermatologists from over 17 countries were asked to diagnose malignant lesions (dangerous) from benign moles.
The results were quite shocking. In a paper published by the research team in the journal Annals of Oncology, it is mentioned, “Most dermatologists were outperformed by the CNN.
The first author of study Holger Haenssle said in his statement, “The CNN missed fewer melanomas, meaning it had a higher sensitivity than the dermatologists.”
According to researchers AI technology is a useful and easy way to detect skin Melanomas (cancer cells) from normal cells. Furthermore, CNN has applications of surgical removal of cancerous cells before they penetrate into the normal cells. They also believe there are 232,000 new cases of skin cancer and 55,500 deaths are reported each year.
However, AI system may act as an aid to detect skin Melanomas but cannot overtake humans entirely, as the technology is still in its infancy. Melanoma in some parts of the body, such as the fingers, toes, and scalp, are difficult to image, and AI may have difficulty recognizing.
Artificial Intelligence is progressing day by day, with big tech companies spending millions to enhance AI technology to help humans in a diverse set of problems. However, researchers are also concerned about the adverse impact the technology may produce.
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