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Lung cancer diagnosed by Artificial intelligence

AI and doctors working together can be more effective

20-May-2019

Key points from article :

Study is focused on lung cancer, which has the highest mortality - 1.8 million a year.

AI is used to see if the analysis of scans could be improved.

Working mechanisms of AI are undiscovered, but scientists are trying to find out more about it.

First step was the training of computer software with 42,290 CT lung scans from nearly 15,000 patients.

Results showed that AI could boost cancer detection by 5% and false-positives by 11%.

US study suggests that artificial intelligence is better than doctors at diagnosing lung cancer

The next step is to use it on patients in the form of a clinical trial.

Northwestern University in Illinois and Google hope the technology could improve cancer screening.

The study was published in Nature Medicine.

Mentioned in this article:

Click on resource name for more details.

Mozziyar Etemadi

Research Assistant Professor in the Department of Bioengineering at the McCormick School of Engineering at Northwestern University.

Nature Medicine

Scientific Journal providing information from all areas of medicine

Northwestern University

Private multidisciplinary research university

Topics mentioned on this page:
AI in Healthcare