newsIsrael News

Israeli doctors save man’s life with AI

The 50-year-old patient was urgently called back to the hospital after an AI-assisted diagnostic program flagged his CT scan for potential intracranial bleeding.

An artist's rendition of artificial intelligence. Credit: Pixabay.
An artist's rendition of artificial intelligence. Credit: Pixabay.

Innovative artificial intelligence-based technology recently saved the life of a patient at the Galilee Medical Center in Nahariya.

A resident of the city, the 50-year-old patient had arrived for a routine CT scan after complaining of strong headaches for an extended period, and after its completion, left.

The results usually take one to two weeks to arrive, but in this case, an alert by the AI-based program warned that he might have intracranial bleeding, prompting doctors to call the man—who was still near the hospital—to return swiftly.

He was operated on in an emergency procedure that saved his life.

The AI-based program, called Viz.ai, leverages advanced, FDA-cleared algorithms to analyze medical imaging data, like CT scans, providing real-time insights and automated assessments to accelerate diagnosis and treatment.

Galilee Medical Center’s Dr. Dan Paz, who participated in the development of the program, lauded its life-saving abilities, saying that “without it, the patient would have probably come to us too late.”

Originally published by Israel Hayom.

You have read 3 articles this month.
Register to receive full access to JNS.

Just before you scroll on...

Israel is at war. JNS is combating the stream of misinformation on Israel with real, honest and factual reporting. In order to deliver this in-depth, unbiased coverage of Israel and the Jewish world, we rely on readers like you. The support you provide allows our journalists to deliver the truth, free from bias and hidden agendas. Can we count on your support? Every contribution, big or small, helps JNS.org remain a trusted source of news you can rely on.

Become a part of our mission by donating today
Topics
Comments
Thank you. You are a loyal JNS Reader.
You have read more than 10 articles this month.
Please register for full access to continue reading and post comments.