"The CNN missed fewer melanomas, meaning it had a higher sensitivity than the dermatologists, and it misdiagnosed fewer benign moles as malignant melanoma, which means it had a higher specificity; this would result in less unnecessary surgery", said Professor Haenssle.
The CNN has the ability to learn fast by seeing images and teaching itself in order to improve its performance considering what it has learned (a process is known as machine learning).
Aadi Kalloo, an author of the study and senior data analyst at New York's Memorial Sloan Kettering Cancer Center, contends that "a human definitely always needs to be in the loop" when diagnosing skin cancer, adding that the CNN's diagnostic performance was superior to most, but not all, dermatologists.
Professor Holger Haenssle of Heidelberg'sUniversity Department of Dermatology, reveals in a recently published paper that deep learning convolutional neural network could greatly increase the chance of accurate diagnosis. The American Cancer Society estimates 9,320 people will die from melanoma in 2018 while 91,270 new cases will be diagnosed.
To date, most physicians involved in skin cancer screening and treatment use dermoscopy to image or store lesions for documentation and follow up.
"As the researchers behind this study indicate, this is no replacement for an expert dermatologist, but rather another tool in their arsenal which could help improve diagnosis rates".
From just dermoscopic images, the clinicians were asked first to diagnose either a benign or malignant condition and asked to assign a care plan (level 1).
Although machines doctors are still a thing of science-fiction, a team of medical researchers from Germany proved that artificial intelligence could outperform human diagnosticians.
The CNN was trained on over 100,000 dermoscopic images.
"After finishing the training, we created two test sets of images from the Heidelberg library that had never been used for training and therefore were unknown to the CNN", said Haenssle. However, the CNN outperformed the dermatologists by detecting 95 percent of melanomas. These include the difficulty of imaging some melanomas on certain locations of the body, such as on the fingers, toes and scalp.
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An autopsy and toxicology test will eventually be done to determine the official cause of death. The fisherman appeared on Deadliest Catch in seasons two and three as one of the captains.
AI Better at Finding Skin Cancer than Doctors
The dermatologists' performance improved when they were given more information of the patients and their skin lesions. It also missed fewer melanomas, meaning it was more sensitive than the human dermatologists in terms of detection.
Trump hits China with $50B tariffs, investment restrictions
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