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AI precision from first incidental finding to final follow-up

Standardize oncology workflows across your health system

Oncology-page-hero

Pulmonary nodule detection

Incidental findings are flagged to help locate, characterize, and measure regions of interest for early lung cancer detection.

Improve accuracy and confidence in diagnosis by identifying incidental lung nodules, mitigating the risk, and providing intervention to those patients in need. 

  • All nodule types – solid, sub-solid, ground glass

  • Automated lung nodule detection and analysis – on contrast, non-contrast, & low dose CT scans

  • Improved visualization of nodules – automated vessel suppression for an unimpaired view of the lung

  • Developed by Riverain and results deployed to the Rapid mobile and web apps, Navigator Pro™, and PACS

29%

reduction in missed nodules1

26%

faster radiology reads2

CAC_Case-4_tablet

Lung cancer clinic management

Virtual Nodule Clinic (VNC) includes Patient Discovery AI, which automatically searches radiology reports for documented lung nodules and identifies patients for review to help care teams prioritize patients and reduce the risk of patients being lost to follow-up:

  • VNC’s workflow management tools support patient tracking and follow-up

  • Lung Cancer Prediction (LCP) AI analyzes CT images to assess a nodule's cancer risk

  • Triage, track, manage to ensure timely patient care

Developed by Optellum

85%

more early-stage lung cancers detected3

71%

more interventional procedures4

30%

reduction in loss to follow-up5

Lung-cancer-clinic-in-tablet_FPO

Testimonials

It is truly remarkable to see how, overnight, a single technology [RapidAI] has changed our ability to care for those patients efficiently, effectively, quickly and safely."

Peter Monteleone, MD, FACC, FSCAI

Austin, TX

Where this AI piece will be incredibly helpful is that it’ll be a win-win-win for everyone. The referring hospital prevents leakage of patients when they can keep the patients who don’t need to be treated elsewhere. At the same time, the patient and his family members don’t have to travel or pay for separate ambulance rides to come to our center. Thirdly our hospital is limited in beds and we eliminate the need to occupy a bed for patients with low risk PE who can be managed with anticoagulation."

Rohit Amin, MD

Pensacola, FL

RAPID has helped accelerate our enrollment in our clinical trial. We are screening more than double the amount of patients we were previously and have had two enrollments in just the few weeks of use that before took months to get."

Andrew Kesselman

Stanford

Mammography solutions

Description about the solution

Mammo Dx

Mammo Density

BAC assessment

Mammo-Dx-in-tablet_FPO

Mammo Dx

Mammo Dx elevates breast cancer assessment

  • Detection and localization of regions of interest for masses, architectural distortions, asymmetries, microcalcifications, arterial calcifications

  • Degree of suspicion at case level (for prioritization) and lesion level (AI confidence)

  • Density Score on 2D or 3D supports objective decisions Prior case sync and compare images and risk scores

  • Robust compatibility across gantries and systems

 

23%
dense breast (BI-RADS C/D) cancer detections6
52%
Shorter review times7

Mammo Density

Automated density classification with a patient-centric, accurate density assessment of 2D or 3D mammograms
>80%
density accuracy achieved(7)

BAC assessment

Sources:

1. https://www.ajronline.org/doi/10.2214/AJR.17.18718

2. Spieler B, et al. Curr Probl Diagn Radiol. 2 022 Mar-Apr;51(2):155-161.

3. Lee K, et al. Abstract 2607470 presented at AATS 106th Meeting; May 2–5, 2026; Chicago, IL. 

4. Dotson et al. Pending publication 2026

5. Woodhouse P, et al. J Am Coll Surg. 2025 Apr 1;240(4):417-422