Artificial intelligence (AI) and its subset, machine learning, are providing clinicians with predictions of patients who are likely to develop certain diseases, including mental illness. This interesting topic came to us from Psychology Today in their article, “AI Machine Learning Used to Predict Psychosis.”
In a recent study, researchers used AI machine learning and human intelligence to predict mental illness. “Our study showed for the first time, to our knowledge, that the augmentation of human prognostic abilities with algorithmic pattern recognition improves prognostic accuracy to margins that likely justify the clinical implementation of cybernetic decision-support tools,” wrote the researchers.
What distinguishes AI technology from traditional technologies in health care is the ability to gather data, process it and give a well-defined output to the end-user. AI does this through machine learning algorithms and deep learning.
At its core, AI simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
