With an 94.4 percent success rate it even outperformed radiologists in tests. As a common fact when using computers to perform medical actions, the system was previously trained using 42,000 patient CT scans. “The whole experimentation process is like a student in school,” Dr. Daniel Tse, a project manager at Google, told media. “These people have a technology that will improve the precision of screening tremendously,” Dr. Otis Brawley, a professor of oncology and epidemiology at Johns Hopkins University said.
Lung cancer detected
Google’s system will need to undergo more rigorous testing before it could be put into medical practice. This study achieved first steps version of algorithmic identification but there is a big hope. Machine learning could one day be used to detect signs of lung cancer earlier than often occurs today. Lung cancer killed more than 160,000 people in the United States in 2018. It is the leading cause of cancer death. Breast cancer and skin cancer could be detected using similar methods. Treating cancer involves a lot more than just detecting the disease in the first place.The findings were published in the journal Nature Medicine on Monday.