Precision
The algorithms flag abnormalities with greater accuracy.
Products · Artificial intelligence and agents
AI and agents that give radiologists back their reporting time
In AQUILA+, more than 100 AI algorithms support the detection of findings and five agents carry out the operational tasks at every stage of the workflow. Interpretation and clinical responsibility always rest with the specialist.
How does AI work in radiology?
Clinical decision support
Deep learning algorithms and neural networks analyse X-ray, CT, MRI and other modalities. They flag findings for the specialist to confirm. The diagnostic decision is not automated.
AI on screen
AI, built into reporting
The algorithms flag findings on the study and the agents order the worklist. The specialist stays in control of the interpretation.
AI agents
Five agents in production today
Each agent carries out a different operational task in the workflow, and all of them are available only in AQUILA+, the cloud system. We document what each one does and its actual implementation status.
Appointment booking
Manages appointment scheduling. It reads the referral and the insurance authorisation, applies each institution’s own rules and books the appointment automatically. We project a 50% to 60% reduction in patient waiting times, and up to 80% less operational booking workload.
Smart worklist
Analyses clinical data and assigns urgency using a dynamic medical dictionary that continuously incorporates new terminology. Critical cases surface immediately, reducing variability and your institution’s medico-legal exposure.
Study assignment
Assesses each radiologist’s workload, reporting speed and pending cases in real time, and assigns the study to the right specialist with no manual intervention.
SLA compliance
Monitors every study in the reporting queue. When a study passes its SLA threshold, it triggers a visible alert in the list. Doctors and coordinators see the risk before it becomes a breach.
Virtual assistance
It’s the virtual radiology assistant developed by IMEXHS. It answers contextual medical queries, assesses report quality, supports image analysis and searches academic literature from within the reporting workspace. Draft report generation and study correlation are in development and not yet available.
