Your Real-Time Radiology Guardian
Smart Priority monitors scans in real-time while the patient is scanned, flagging acute conditions as they emerge enabling prompt information to the care team. This accelerates the management of acute cases when every moment counts.
In the case of acute stroke, every second matters.
By detecting critical conditions such as infarcts and severe hemorrhages early—shortly after the MRI exam begins—it ensures timely access to crucial information. This allows for faster, more informed decision-making while the patient is still in the scanner.
Real-Time Monitoring of MRI Scans
Smart Priority continuously analyzes Brain MRI scans in real time, identifying critical conditions like strokes or cerebral hemorrhages as the scan progresses.
Instant Update to Care Teams
Critical findings are instantly available with the entire care team, facilitating rapid communication and ensuring prompt attention.
Benefits
Accelerated Critical Patient Management
With real-time detection, clinicians receive vital information while the patient is still in the scanner, allowing for faster, more informed decision-making and quicker initiation of potentially life-saving treatment.
Improved Diagnostic Confidence
By providing an additional layer of detection support, Smart Priority functions as a reliable copilot, helping to minimize the chances of overlooked critical findings or delayed diagnosis.
Improved Patient Outcomes
In acute stroke or hemorrhage cases, immediate detection through Smart Priority ensures that clinicians can act quickly, improving patient outcomes.
Length of stay Optimization
For non-acute patients, Smart Priority optimizes workflows by providing faster diagnostic insights, which may lead to reduced length of stay enabling quicker discharge or timely continuation of treatment.
Resources
Explore our Resources section to discover a range of articles, whitepapers, case studies, and videos that dive into our AI technology, clinical research, and product capabilities.
Source: DIAGNOSTICS
Discover the concept of a “safe reporting backlog” centering on optimizing safety, prioritization, and quality of care for patients – enabled by the use of AI to streamline radiology processes and boost patient safety.
Source: NATIONAL LIBRARY OF MEDICINE
On February 15, 2024, an enlightening webinar organized by CEREBRIU brought together leading experts from esteemed institutions such as Guy’s and St Thomas’ NHS […]
Can AI and related technology positively impact the imaging process
