High-Technology and Healthcare

New advances in computing capacity, performance, and software make artificial intelligence, neural networks, and machine learning “the most powerful force in technology that any of us has ever witnessed,” according to Jensen Huang, CEO of NVIDIA Corporation.

Visual perception, speech recognition, decision-making, and translation between languages are already commonplace, and new uses of this powerful force promise to impact our lives in dramatic and important ways. Companies are investing in artificial intelligence and machine learning methods to better understand and address customer needs while improving the bottom line.

In healthcare, 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 analyze these large troves of information, computers can learn to find patterns that can be difficult for humans to detect, and predictions can then be made based on these patterns.

Current machine learning efforts are focused on costly development and adjustment of existing methods that are based on trial and error. 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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