Using machine learning image analysis, our Virtual Resident™ clinical decision support solution helps radiologists leverage their existing PACS and reporting systems to create higher value reports faster.
Your RADLogics Virtual Resident uses machine learning image analysis to process the enormous amount of imaging data associated with CTs, MRIs and X-rays. Within minutes, a draft report—with key images—flows into your PACS and reporting system to enhance study review. You can focus your time and attention on diagnosis, improving quality for your patients and institution, and collaborating with colleagues.
The RadLogics Virtual Resident is like having a top resident preparing detailed detection and characterization findings for your review. Except that our virtual resident has the advantage of accessing, aggregating and analyzing data from millions of of actual clinical cases and applying that knowledge—in milliseconds—to each case. This “collective wisdom” is continuously being updated with new imaging data from institutions around the world.
Detailed, accurate findings for each case are available In a matter of minutes. By the time you sit down to review a case, the preliminary findings are up on the screen. Instead of spending the majority of your time on detection and characterization, you can focus on the critical task of diagnostics and completing your report.
The findings are merged with the patient’s medical record information, and then flowed into your department or hospital’s form. Every piece of information—patient identification, imaging technique, quantified measurements, findings for key disease states, and reference images—show up where you expect to see it.
The RadLogics Virtual Resident is not subject to human variability, minimizing the chances of errors and inconsistencies. For example, if a clinician fails to note that contrast media was used in a scan, this will not affect the accuracy of the findings. The RadLogics Virtual Resident analyzes the images and identifies, independently, whether or not a contrast media was used. The software also scans for all of the disease states that are in each scan module. In the case of Chest CT, for example, even if a referring physician has asked the radiologist to look for a rib fracture, the software will identify lung nodules, if present.
The RadLogics Virtual Resident cloud solution (US Patent 8,953,858, other patents pending) imports any DICOM-compatible study directly from the modality or the PACS. The software platform incorporates proprietary analytics, search, measurement, and other tools. All scans associated with a given study are combined into a single result. In a matter of minutes, The RadLogics Virtual Resident prepares detailed findings information that flows into any reporting, PACS, or HL7-compatible system for review by the radiologist.
The RadLogics Virtual Resident is a vendor- and modality-agnostic software analytics platform. It is currently available for CT scans. Future versions will support X-ray*, MRI* and ultrasound* scans.
* Under development.
The RADLogics Virtual ResidentTM supports an ever-expanding portfolio of scan modules, covering various modalities such as CT, XRay and MRI.
The RADLogics Virtual ResidentTM uses an innovative App model. Each App was designed and developed in conjunction with leading radiologists, and was clinically validated in numerous clinical institutions.