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FDA clears Aidoc AI solution for triaging head CT scans

by Lisa Chamoff , Contributing Reporter
Aidoc has received FDA clearance for its first artificial intelligence (AI)-based workflow optimization solution, which assists radiologists by flagging acute intracranial hemorrhage (ICH) cases in head CTs.

The deep learning product is the first to focus on acute care for radiologists, where time is of the essence, according to Elad Walach, Aidoc’s chief executive officer.

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“We’re excited about this specific clearance as it has a unique place in the market,” Walach told HCB News.

Walach said the deep learning algorithm runs in the background and focuses on abnormal regions and not a specific pathology, lending itself to triage and prioritization of certain cases, at a time when radiologists are challenged by reading a large number of exams with increasing amounts of data.

The solution is also integrated into the radiologist’s existing workflow, Walach said, and the product integrates with existing PACS.

“We believe the biggest component of AI is the workflow integration,” Walach said. “It has to be intuitive to the radiologist.”

Cedars-Sinai Medical Center in Los Angeles recently conducted a study of the Aidoc brain package and found that using it decreased report turnaround time by more than 60 percent and also increased the radiologist’s confidence in their findings.

“Seeing the software in action emphasized the key aspects an AI solution needs to possess to have an impact on the radiologist day to day – seamless integration into the workflow and broad applicability,” said Dr. Barry Pressman, chairman of imaging at Cedars-Sinai Medical Center and former president of the American College of Radiology, in a statement. “With the evidence I’ve seen, in the not so distant future, it will almost be unthinkable to practice radiology without the assistance of solutions like Aidoc.”

Walach said the latest clearance is part of a company strategy to focus on AI solutions for acute care across the entire body. They are currently developing and investigating algorithms for the head, spine, abdomen and chest.

“We want to make sure whenever there is a CT exam, we will be applicable to it,” Walach said.

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