Solving health care mysteries with artificial intelligence
Computer scientists such as Luca Giancardo, Ph.D., of the Center for Precision Health, a joint venture between UTHealth School of Biomedical Informatics and UTHealth School of Public Health, are using artificial intelligence, or AI, to solve medical mysteries.
One of those mysteries is how to detect the warning signs of Parkinson’s disease, an age-related neurodegenerative brain disorder that is expected to rise sharply as the population ages. The gradual damage often goes unnoticed until signs such as rigidity or resting tremors occur. With early intervention, doctors may be able to slow the symptoms.
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