Industry

With the advancement of the raw computational power and the vast amount of data that has become available as a result of microelectronics, wireless devices, and other technologies, companies are investing in artificial intelligence and machine learning methods to better understand and address their clients’ needs while improving the bottom line.

The goal of precision medicine is to provide medical treatment tailored to the individual characteristics of each patient. This requires finding patterns in clinical data, image data (such as MRIs and x-rays), family history, and other medical records. By training computers to look at these large troves of information, computers can learn to find patterns that can be difficult for humans to detect.

Machine learning efforts are currently focused on costly development and adjustment of existing methods that are known to have unreliable characteristics. For example, if a machine is trained multiple times on the same data, consistent and repeatable results may not be easy to obtain. This can lead to a “crisis of confidence” in believing that the artificial intelligence has been trained to its optimal capability and is making predictions of acceptable quality.

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