TumorDetect

Flag cases with possible malignant tumors, allowing pathologists to quickly prioritize them for review or further testing. Integrated within the AISight® Image Management System, it streamlines the workflow for timely and accurate follow-up.

Prioritizes Cases for Earlier Review

Pre-screens and prioritizes cases with suspected tumors to expedite pathologist review and improve turnaround time.

High Sensitivity & Specificity Cancer Detection

Automates detection of tumors across a wide range of carcinomas to ensure consistent and accurate case prioritization.

Streamlines Workflow with Visual Evidence

Flags fields of interests for pathologists, streamlining the review process and reducing review time.

AI-Powered Case Prioritization to Support Earlier Review of Malignant Cases

TumorDetect uses AI to analyze whole slide images and surface cases with features suspicious for malignancy, helping pathologists prioritize cases that are likely to require additional, time-intensive follow-up (e.g., confirmatory stains, biomarker testing, or secondary review) so those steps can begin sooner and sign-out delays can be reduced. In a simulation study evaluating the impact of AI-assisted triage, cases were reordered based on predicted importance and compared to standard case review order across 10,000 runs. The results showed that TumorDetect improved average case rankings and increased the median percentage of malignant cases reviewed in the first half of the day from 50% to 71%. By identifying cancer across multiple tissue types and surfacing AI impressions directly within the case list, TumorDetect shows promise in supporting more efficient workflows and enabling earlier review of critical cases.