On December 1, Professor Chang Sung-Eun’s team at the Department of Dermatology of Asan Medical Center (AMC) in Seoul has verified a deep learning-based algorithm for detecting up to 43 types of skin cancer and diseases. The AI model performs on a par with human dermatologists, showing a 66.9 percent detection sensitivity and 87.4 percent specificity towards the diseases. “Malignant melanoma is a fatal disease that has shown a five-year survival rate below 20 percent if the tumour spreads to other organs including lung and liver,” explains Dr. Chang Sung-Eun, “We expect this AI algorithm can help in diagnosing and treating patients with skin cancers via periodic self-examination.” (Source)
We know you don’t want to miss any news or research breakthroughs. Subscribe to our popular newsletter Synced Global AI Weekly to get weekly AI updates.
Pingback: AI in South Korea’s Asan Medical Center Aids Dermatologists in Detecting 43 Types of Skin Cancers and Diseases - Synced - Nigeria Cancer Blog
Thank you
Great post, thank you for sharing
This article provides details about ai in south koreas asan medical center aids dermatologists in detecting-43 types of skin cancers and diseases .This blog happens to be one of the best blog, which give proper details about it. I enjoyed reading this blog and would suggest others too, and you would get to read about it in this link.
Thanks for sharing such nice info. I hope you will share more information like this. please keep on sharing!
https://www.mytectra.com/machine-learning-training-in-bangalore.html
The article was up to the point and described the information very effectively.
I think you brought up an extremely important point. We need to focus on helping those suffering from aids and cancer illnesses. In the future, treatment needs to be more accessible and equipped with better technology.
Nice Post ! Thanks for sharing this useful post.
AEM Companies: https://www.suffixtree.com/adobe-experience-manager