Yale University researchers say AI can reduce wait times, costs, and other burdens on hospitals

Yale University researchers have determined that artificial intelligence could provide patients with stomach disorders better treatment.

Traditional, inbound patients with ulcers and other stomach disorders must visit the hospital. But new advances may allow doctors to evaluate and treat patients at home.

Yale researches tapped patient data from six global medical centers. Using a machine-learning model, they could validate and predict the risk of death or need for medical intervention for patients suffering from gastrointestinal (GI) bleeding.

By comparing this model to standard risk systems in hospitals, they determined that the former outperformed the latter. The AI model was better at detecting low-risk symptoms that would allow patients to leave the hospital. Now, their model is available as an app to help emergency rooms reduce patient flow, costs, and other burdens.

Lead author Dr. Dennis Shung also said that future studies will incorporate these models into electronic health records.

AI Healthcare Spending

Meanwhile, spending on artificial intelligence for healthcare remains robust. A recent report from Stratistics MRC said that global healthcare AI spending will hit $19.25 billion by 2026. The figure dwarfs the $950 million spent in 2017. The market will grow at a CAGR of 39.7% during that period.

Elsewhere in AI

Finally, MIT recently invested $1 billion into an AI-focused College of Computing to mimic a new center at Tsinghua University. Furthermore, the MIT Stephen A. Schwarzman College of Computing is named after the Blackstone CEO who donated $350 million to the university.