Aidoc has announced an agreement with Isala Hospital, in the Netherlands. AI algorithms will be used for triage, and notification of intracranial hemorrhage (ICH), pulmonary embolism (PE), and c-spine fractures.

“Imaging volumes continue to rise. Therefore, we need a clear plan on how AI technology can support radiologists to manage the increasing workload. AI has proven to offer high value by reducing turnaround time, increasing the radiologists’ confidence and reducing variability of quality,” said Dr. Martijn Boomsma, Radiologist at Isala. “At Isala, we have certainly found that value in the ability of Aidoc’s AI platform to complement our radiologists’ strengths. AI offers us a high degree of comfort amid periods of both higher and lower imaging volumes, and especially during night shifts. Beyond radiology, we also observed its ability to make a positive impact on the post-diagnosis patient pathway.”

In a study evaluating performance as a complement to  radiologists, Aidoc’s AI showed high sensitivity and negative predictive values while the radiologist demonstrated high specificity and positive predictive value, with 70% of participant radiologists stating that AI could “improve diagnostic comfort.” In another study, conducted by Unfallkrankenhaus Berlin, researchers showed the potential of Aidoc’s AI and physicians together could increase triaging of positive intracranial hemorrhage cases by 12.2%. Isala evaluated Aidoc’s algorithm for c-spine fractures on a validated database of 2,331 CT scans and showed the potential value of the AI as a concurrent reader by increasing the total number of fractures identified by a radiologist by 13% (ECR 2022 oral presentation).

Alexander Boehmcker, Aidoc’s VP Europe said “AI is a tool that augments the radiologist and so when paired, the two complement each other and raise diagnostic efficiency. Hospitals like Isala with their visionary leadership are forging a new path, showing how AI will play a pivotal role in the future of hospital care in Europe through rigorous clinical research and perpetually proving AI’s valuable role.”