Image: The AI-based tool is designed to identify PEs in CT scans (Photo courtesy of iStock).
Aidoc (Tel Aviv, Israel), a provider of artificial intelligence (AI) solutions for radiologists, has announced the commercial release of its CE-marked product for the identification and triage of pulmonary embolism (PE) in CT pulmonary angiograms.
Aidoc is a provider of AI solutions that support and enhance the impact of radiologist diagnostic power - helping them expedite patient treatment and improve quality of care. The company's solutions reduce turnaround time and increase quality and efficiency by flagging acute anomalies in real time. Radiologists benefit from state-of-the-art deep learning technology that is "Always -on", running behind the scenes freeing them to focus on the diagnosis itself. Aidoc's healthcare-grade deep learning algorithms benefit from large quantities of data, making their solutions the most comprehensive in the field, and enabling them to provide diagnostic aid to the broadest set of pathologies.
PE diagnosis can be highly challenging due to its variable and non-specific presentation, making the case that it can truly benefit from AI-driven workflow triage. By flagging obstructions in blood-flow to the lungs, Aidoc prioritizes radiologists' work-queues and helps them detect critical conditions faster, leading to quicker treatment and saving lives.
"We're happy to provide the market with yet another CE marked time-sensitive pathology in our full-body AI solution," said Elad Walach, Aidoc co-founder and CEO. "Together with our CE marked solutions for flagging intracranial hemorrhage and c-spine fractures, our comprehensive solution runs in the background and gives the radiologist the peace of mind that no urgent cases are sitting at the bottom of the worklist waiting to be read."