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The AI ​​system can predict the effectiveness of treatment

The AI ​​system can predict the effectiveness of treatment

1970-01-01T05: 30: 00 + 0530

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London, Nov 18 Scientists have developed a new artificial intelligence technology (AI) that can compare various treatments and identify the most suitable alternatives for patients.

Traditionally, the effectiveness of medical care was studied by randomized trials in which patients were randomly divided into two groups: one group was given treatment, and the other was placebo.

Scientists including those from Aalto University and the University of Eastern Finland show that there may be other ways to evaluate the effectiveness of treatment.

According to Professor Olli-Pekka Ryynanen from the University of Eastern Finland, this method opens a new and significant way for the development of medical research.

"We can now predict the results of treatment in individual patients and to evaluate existing and new treatment methods. With this method, it is also possible to replace some randomized trials with modeling," Ryynanen said.

In a study published in the journal Health Informatics Research, the researchers used this method to evaluate the effectiveness of treatment for obstructive sleep apnea.

However, this method can also be applied to other treatments, the researchers said.

This study shows that in patients with sleep apnea, treatment of continuous positive pressure (CPAP) reduces mortality and the occurrence of myocardial infarction and cerebrovascular insult by five percent in the long term.

For patients with heart conditions, CPAP is less useful. MHN

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Disclaimer: – This story has not been edited by Outlook staff and is generated automatically from the news agency feed.

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