Indiana University researchers want to use artificial intelligence (AI) to provide doctors with a tool to help them diagnose and treat patients.
"Artificial intelligence can detect patterns matching a patient's disease progression and recommend up-to-date, cost-effective treatment plans to a human doctor," says Indiana professor Kris Hauser.
The researchers have received a U.S. National Science Foundation grant to develop and test prototype decision-support systems designed to help physicians diagnose and treat patients with heart problems and clinical depression.
"AI systems can digest relevant information and put it all on the table, ultimately making healthcare more transparent and cost-effective," Hauser says.
The researchers are using statistical relational-learning techniques to find patterns in large electronic healthcare databases. They then are putting those patterns into a mathematical framework that produces a set of possible treatment sequences.
"The system will present information to doctors about what might be the best treatment plan, along with the plan's expected outcome and costs," Hauser says. He also notes the systems can help physicians make the best diagnoses and order the most appropriate and effective tests.
From Bloomington Herald-Times (IN)
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