Yale Hospital first to use Israeli AI to combat pulmonary embolism

Pulmonary embolism (PE) is a condition where one or more arteries in the lungs become blocked by a blood clot, possibly resulting in symptoms such as shortness of breath, chest pain and cough.

Aidoc offers artificial intelligence solutions that support and enhance the impact of radiologist diagnostic power (photo credit: GUY SHRIBER)
Aidoc offers artificial intelligence solutions that support and enhance the impact of radiologist diagnostic power
(photo credit: GUY SHRIBER)
Israeli company AIDOC Medical has announced the launch of the first artificial-intelligence (AI) notification system that facilitates rapid-risk assessment and care coordination for high-risk pulmonary embolism (PE) patients. It is now being used at Yale New Haven Hospital, it said in a press release.
PE is a condition that causes one or more arteries in the lungs to be blocked by a blood clot and could result in symptoms such as shortness of breath, chest pain and coughing. Prompt treatment to break up the clot greatly reduces the risk of death.
Rapid-risk assessment of PE cases is essential for the patient’s treatment, and a multidisciplinary approach to management and treatment can be the defining factor in their care.
AIDOC was established in 2016 and is known for developing computer-aided notification systems. It is a “provider of artificial intelligence solutions that support and enhance the impact of radiologist diagnostic power,” which helps patient treatment and improve quality of care, according to its website.
The AI-based solution developed by AIDOC detects acute PE together with right-heart strain to automatically notify medical-care teams of patients who would benefit from immediate treatment.
“We have been using the first version of this solution for the last six months and have seen the real impact this has had on addressing patients that require treatment beyond anticoagulation,” said Dr. Irena Tocino, professor and vice chairwoman of medical informatics at the Yale School of Medicine’s Department of Radiology and Biomedical Imaging.
High-risk PE patients are automatically flagged after a scan is performed, and a notification is sent simultaneously to all relevant team members to treat them.
Last year, the FDA allowed use of AIDOC’s AI to detect COVID-19 in CT scans.
Aaron Reich contributed to this report.