The role of artificial intelligence (AI) in radiology is ever-expanding, with new startups focusing on improving imaging diagnosis, particularly in stroke triage, as the incidence of stroke and neurovascular disease continues to surge globally.
Pooja Rao, Ph.D., co-founder and head of research and development at Qure.ai
, states that while the industry is yet to rely on AI tools for diagnosis entirely, its use is accelerating in research and development, particularly in specialties like interventional radiology and neurosurgery.
Qure.ai's FDA 510(k) cleared tool
, qER, decreases the time to action by up to 97% by detecting critical markers in head CT scans and immediately alerting clinicians.
Rao states that every bit of help AI tools can offer in this complex process directly improves patient outcomes and decreases the risk of death or permanent disability.
Furthermore, Greg Albers, MD, director of the Stanford Stroke Center, acknowledges the increasing influence of AI in medical practices and expects AI to be a significant part of the "new normal" post-pandemic. However, he emphasizes that AI's current role is to highlight potential issues for physicians rather than replace them.