AI can Detect Skin Cancer
healthcaretechoutlook

AI can Detect Skin Cancer

By Healthcare Tech Outlook | Thursday, July 25, 2019

TAI in Oncologyhe detection of skin cancer by AI technology is more efficient than trained dermatologists.

FREMONT, CA: With the industries passing through a digital renaissance, the innovative stakes for developers and researchers have already reached stratospheric limits. From construction to healthcare, every sector has had its fair share of innovative outbreaks. One such technological development to disrupt the clinical ecosystem is artificial intelligence (AI) technology. With a close resemblance to the human brain, the AI technology will enable the doctors and the researchers to unleash their full potential.

Presently, the applications of AI technology have reached its tipping point so much so that the researchers and dermatologist can accurately identify skin cancer with the help of syntactic intelligence technology. From aggressive skin cancer to benign moles, the AI-powered monitoring system can efficiently detect every form of melanoma.

A surprising fact surfaced in a study conducted by Annals of Oncology while comparing the performance of AI’s deep learning convolutional neural network (CNN) with a team of an experienced dermatologist, the efficiency of sophisticated AI-powered platform was found to be higher than experienced doctors. The inbuilt monitoring functionalities of AI technology not only make it a reliable substitute for physicians but also elevate the innovative bar of clinical practices to a maximum. Even though the outperformance of trained physicians has led to an ethical controversy among dermatologists, but the full automation of diagnosis is far from completion.

Brain, one of the central identifying characters that differentiate the humans, has its own set of limitations. With the integration of AI technology, the constricted barrier of focus is lifted, and by bending this parameter, the AI technology surpasses in clinical development. In addition to the extended functionality, the AI-powered platforms not only collect high-resolution images but also monitor the micro-anomalies in a patient’s body.

During substantial stages of diagnosis, the probability of making human error may cause severe fatalities to the patient’s health. However, with an autonomous approach, AI technology not only eliminates the manual risk but also elevates the rate of melanoma detection. Even though the inclusion of AI technology is at a nascent stage of development, but the potential shown with this limited involvement is genuinely unique.

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