AI News, Artificial intelligence used to identify bacteria quickly and accurately

Artificial intelligence used to identify bacteria quickly and accurately

'With further development, we believe this technology could form the basis of a future diagnostic platform that augments the capabilities of clinical laboratories, ultimately speeding the delivery of patient care.'

Next, they trained a convolutional neural network (CNN) -- a class of artificial intelligence modeled on the mammalian visual cortex and used to analyze visual data -- to categorize bacteria based on their shape and distribution.

The machine intelligence learned how to sort the images into the three categories of bacteria (rod-shaped, round clusters, and round chains or pairs), ultimately achieving nearly 95 percent accuracy.

In the meantime, Kirby suggests automated classification can ameliorate the shortage of human technologists by helping them work more efficiently, 'conceivably reducing technologist read time from minutes to seconds,' he said.

Nine percent of lab technologists remain unfilled, and that number is expected to dramatically increase as technologists of the Baby Boomer generation begin to retire in droves, according to a 2014 survey from the American Society for Clinical Pathology.

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