Deep learning can detect abnormal chest x-rays with accuracy that matches that of professional radiologists, according to a new paper by a team of AI researchers at Google published in the peer-reviewed science journal Nature. The deep learning system can help radiologists prioritize chest x-rays, and it can also serve as a first response tool in emergency settings where experienced radiologists are not available. The findings show that, while deep learning is not close to replacing radiologists, it can help boost their productivity at a time that the world is facing a severe shortage of medical experts.
Some thoughts on Google's chest x-ray AI system
Some thoughts on Google's chest x-ray AI…
Some thoughts on Google's chest x-ray AI system
Deep learning can detect abnormal chest x-rays with accuracy that matches that of professional radiologists, according to a new paper by a team of AI researchers at Google published in the peer-reviewed science journal Nature. The deep learning system can help radiologists prioritize chest x-rays, and it can also serve as a first response tool in emergency settings where experienced radiologists are not available. The findings show that, while deep learning is not close to replacing radiologists, it can help boost their productivity at a time that the world is facing a severe shortage of medical experts.