Computer spots pneumonia on chest X-rays — sometimes better than human doctors
A team built a computer program that looks at chest X-rays and learns to spot lung problems from lots of examples.
Trained on more than 100,000 X-ray images, it learned patterns that are hard to see with the eye alone.
On tests the system could find pneumonia at a level that matched, and in some cases beat, the average of practicing radiologists, which surprised the team a bit.
The program also learned to flag many other problems — it now recognizes signs of 14 different diseases from the same kind of picture.
That does not mean doctors are out, it means doctors might get better help, faster reads and a second opinion when time is short.
Imagine quicker diagnoses in busy hospitals, or care reaching places where specialists are rare.
The results are promising, and still more work needed, but it shows how a machine trained on lots of images can become a strong partner in finding disease early.
Read article comprehensive review in Paperium.net:
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with DeepLearning
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