MUMBAI - There are no limitations on the strides that artificial intelligence (AI) is making in healthcare and, when it comes to the management of chronic diseases like cancer, AI greatly enhances detection and diagnosis. Cancer is one of the world’s leading causes of death and, according to the World Health Organization, around 10 million deaths were recorded in 2020 due to cancer, the most common types of which are those of the lungs, breast, rectum, and colon.1
Treating cancer effectively requires early detection to prevent the spread of cancer cells to other parts of the body. Detecting cancer early used to be very difficult, but AI has effectively risen to the challenge, primarily through cancer genome therapies. These therapies are already effectively treating cancer, but AI can provide a further boost to their efficacy.
This is evident from the achievements of Fujitsu and the Institute of Medical Science at the University of Tokyo, who have used AI-powered language processing technology to create a knowledge database of 860,000 medical papers. This technology reduces the time needed to create genetic mutation treatment plans by more than 50 percent, cutting the amount of examination work from 6,000 hours to about 3,000.
Fujitsu is a Japanese information technology (IT) company that formed in 1935, and its IT services business is number one in market share in Japan and in the top tier worldwide. The company’s purpose is to make the world more sustainable by building trust in society through innovation, and it does this by connecting people, technology, and ideas to create a more sustainable world where anyone can advance their dreams. Fujitsu is capitalizing on various key technologies to achieve a more sustainable world, including computing technology, network technology, artificial intelligenceThe content herein is subject to copyright by The Yuan. All rights reserved. The content of the services is owned or licensed to The Yuan. The copying or storing of any content for anything other than personal use is expressly prohibited without prior written permission from The Yuan, or the copyright holder identified in the copyright notice contained in the content.