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AI Solutions

Radiation Oncology  |  Radiology | Surgery

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RadoncAI

RadOnc-AI uses deep learning to assist clinicians in developing patient-specific, optimized head & neck radiation dose treatment plans

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Funded by Cancer Prevention Research Initiative of Texas (CPRIT)

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  • Radiation therapy treatment planning is complex, iterative, time-consuming, and patient-specific

  • Oncologists must achieve an optimal targeted radiation dose to the tumor while achieving the lowest dose to surrounding organs-at-risk (OAR)
     

  • Published studies show that patients have much better outcomes when treated for cancer at a large academic center rather than at a community or rural one

  • Our InformAI solution can improve the standard of care in community and rural hospitals with treatment directive plans consistent with large academic centers

CONSISTENCY

Compatible with IMRT/VMAT protocols

EFFICIENCY

Plans generated in minutes, not hours

QUALITY

Enhanced patient-specific plans

SAFETY

Lower off-target radiation reduces complications

Improving Standard of

Care with Optimized Treatment Plans

This product is not intended to diagnose, treat, cure or prevent any disease

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SinusAI

SinusAI detects sinus disease features in 3D sinus CT images

Aunt Minnie Best of Radiology Finalist

Supporting ENTs and Radiologists

  • Non-invasive CT diagnostic imaging provides earlier and accurate detection of sinus disease

  • SinusAI improves ENT and radiology clinical workflows and surgical navigation functionality

  • Chronic sinus infections impact approximately 20% of the US population

  • Supporting 11 million annual ENT office visits (US) and 700,000 sinus surgeries

CONSISTENCY

Diagnosis at

the point of care

EFFICIENCY

Improved

clinical workflow

QUALITY

Detection of

sinus disease

SAFETY

Patient retention

through treatment

Improving Radiologist and ENT Workflows

This product is not intended to diagnose, treat, cure or prevent any disease

       Supporting 250+ US transplant centers and 50+ OPOs
       Supporting heart, lung, liver and kidney transplants

  • Organ volume estimation with 97% accuracy

  • Addresses the critical issue of organ size matching

Comprehensive integrated AI informatics dashboard to support clinical workflow for 40,000+ annual organ transplants.

TransplantAI

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Funded by the National Science Foundation (NSF)

CONSISTENCY

Enhanced predictive analytics

EFFICIENCY

Maximized donor organ placement

QUALITY

Assesses multi-outcome risks

SAFETY

Improved transplant matching and survivability

More Transplants, Less Organ Non-Use

This product is not intended to diagnose, treat, cure or prevent any disease

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