Israeli health technology company Aidoc announced that its artificial intelligence (AI) solution for pulmonary embolism (PE) has lowered hospital stay duration and improved patient access to treatment in three studies.

The studies, conducted by the University of Texas Medical Branch, Jamaica Hospital Medical Center, and the University of Chicago, showed that Aidoc’s PE AI solution can correctly alert care teams of suspected PEs with potential for advanced interventions.

According to Aidoc, the new impact data from the three research studies highlight the importance of AI in PE care.

As per the impact data from studies, the PE solution reduced the length of hospital stay by 37% with initiation of advanced therapies and AI triggered pulmonary embolism response teams (PERTs) activation.

The AI solution enhanced the access of catheter-directed interventional therapy by 68% for intermediate-high to high acuity PE patients.

The health technology company said that the solution was successful in identifying critical PE patients and its sensitivity in alerting care teams was 95%.

Aidoc clinical affairs and reimbursement VP Jerome Avondo said: “Collaborating with these esteemed institutions to evaluate Aidoc’s PE AI Solutions is critical to increasing awareness of the multi-faceted benefits AI can provide to patients, providers and health systems.

“A difficult to manage, high acuity patient population, such as PE, presents novel opportunities for assessing the impact of artificial intelligence and understanding the overall impact on outcomes.”

The results validate the growth of its AI-powered PE solution from an algorithm to an enterprise-wide platform used by PERTs across entire health systems, the Israeli firm added.

Aidoc’s always-on AI analyses dedicated as well as non-dedicated CT scans in the background for both expected and unexpected PE and quickly notifies care teams with potential results.

The health technology company’s solution is also said to serve as an end-to-end workflow for PE management and care used by interdisciplinary PERTs and diagnostic radiologists to address acute PE.

Furthermore, the PE cases are sent to a mobile workflow where PERTs can evaluate imaging, access the electronic medical record (EMR) data, and communicate to speed up treatment decisions and enhance patient care.