How artificial intelligence and deep learning are already making a difference in medical diagnostics

Artificial intelligence is becoming more common in everyday life, and penetrating the healthcare market as well, according to a Futurism report.

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Technology companies are using the “deep learning” concept to develop diagnostic programs and deliver more personalized medicine. Deep learning refers to AI software that can analyze large amounts of data and identify patterns to deliver sophisticated responses similar to the reasoning of the human brain.

 

For example, IBM Watson has a program based on deep learning that delivers cancer diagnoses similar to those of human physicians. Google also jumped into the game with DeepMind, which tackles eye care. Finally, companies such as Nvidia are taking advantage of deep learning with DGX-1, designed to increase diagnostic reliability.

 

Medical providers are already using AI to mine medical data including imaging and genomics to improve care for disabled patients and assist in the diagnostic process. The deep learning tools also have the potential to improve care in developing countries, helping physicians more accurately pinpoint issues and setting patients on the appropriate treatment course more quickly.

 

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