Scientists from the U.S., Germany, and France carried out an experiment. It was focused on checking the capabilities of AI system over humans to accurately detect the skin cancer cells. The results assured that the AI system can detect the skin cancer more proficiently than humans to achieve better and faster diagnostics.
The study results were published in the journal Annals of Oncology. The AI system was provided with the training to distinguish in between the hazardous skin lesions from benign ones. More than 100,000 images were shown to AI system. The study results explained that an AI system was more proficient than human dermatologists at detecting the cancer cells.
A deep learning Convolutional Neural Network (CNN), which is an AI machine, was then shown photographs of malignant melanomas and benign moles. At the same time, about 58 dermatologists from 17 countries were also shown the same photos.
Out of these 58 dermatologists, half of them were experts with 5 plus Years of experience, 19% were having experience in the range of 2–5 Years and 29% of them were with less than 2 Years experience in their field.
While explaining the results, researchers proclaimed that the majority of dermatologists were outperformed by the CNN. Dermatologists accurately detected 86.6% of skin cancers from the images. At the same time, the CNN detected about 95% of skin cancers.
The research team proclaimed that the AI can be used as a tool in faster and easier diagnosis of skin cancer. They further added that it is impossible that a machine will take over from human doctors completely, rather functioning as a support.
On a similar note, researchers from the John Hopkins Kimmel Cancer Centre, Maryland, the U.S., have proclaimed the development of a single blood test. This test can detect about eight different types of cancers. The test detects esophageal, ovarian, hepatic, lung, breast, stomach, and pancreatic cancer. This is achieved with the help of a mutated ctDNA and presence of certain type of protein.
Sasha Farrell is a privileged and versatile content writer and editor in the domains of Pharma, Health, and Medical. Before getting into the writing world, Sasha was working as an STM editor for few renowned authors and publications, which gave head-start to rifle through the Pharma, Health, and Medical Innovations.