October 23 - 26, 2022

Carina AI is Proud to Participate in ASTRO 2022

May 13, 2022

INTDose Receives FDA 510(k) Clearance

Lexington, KY – Carina Medical LLC announced that it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for INTDose. INTDose is a Monte Carlo (MC)-based software for independent dose verification in radiotherapy treatment planning. Monte Carlo simulation is regarded as the gold standard for estimating the amount of energy deposited into a medium by ionizing radiation; however, the clinical utility of using MC simulations for independent dose calculations is often hindered by the computational resources and time required to run these simulations. INTDose provides a solution to these bottlenecks by utilizing virtual source models and parallel processing to provide a high speed and accurate validation of treatment plans for delivery methods including TomoTherapy, conventional Varian Linac IMRT, VMAT, and Varian Halcyon. The product also includes a user-friendly private-cloud-based interface, a fully automated workflow, and scripting compatibility with Varian's Eclipse treatment planning system (TPS) to allow for the incorporation into clinical workflows with high customizability.

April 8, 2022

INTContour Receives FDA 510(k) Clearance

Lexington, KY – Carina Medical LLC announced that it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for INTContour. INTContour is an AI-based automatic contouring software that covers more than 60 organs from all anatomical body parts. Based on award-winning algorithms, the segmentation performance is independently validated in multiple academic institutions with high accuracy and robustness. The product also includes a user-friendly private-cloud-based interface that is designed to fit into clinical workflows with high customizability.

Xue Feng PhD, CEO of Carina Medical said, “We are beyond excited with the news of INTContour’s FDA clearance. This represents the culmination of our team’s hard work to create our vision of the ideal product to support and streamline the radiotherapy treatment planning process.” The Company’s commercialization in the U.S. focuses on the use of cutting-edge AI technology to solve one of the most time-consuming tasks in radiation treatment planning, and therefore enable a more efficient workflow for radiation therapy and lead to improved cancer treatments. For more information on Carina Medical, please click here.

November 28 - December 2, 2021

Carina AI is Proud to Participate in RSNA 2021

This one-of-a-kind experience will provide the latest updates on our innovations for better treatment planning, diagnostics, and patient privacy protection. We are excited to invite you to meet in person with Carina AI experts!

Meet us at the First-Time Exhibitor Pavilion: South Hall Level 3, booth 4304, or online.

July 22, 2020

Carina Medical is Awarded $2M Phase II SBIR Grant from National Cancer Institute

Lexington, KY -- Carina Medical has received a $2M award from the National Cancer Institute to continue the development of AI based auto-segmentation software for radiation therapy treatment planning.

Carina Medical will continue to develop novel solutions for more efficient radiation treatment planning. It will support both CT- and MRI-based organ segmentation and site-specific segmentation models to increase the robustness of the AI system.

Carina Medical is in collaboration with the University of Kentucky and the University of California, Davis to develop and validate the auto-segmentation product.

July 26, 2019

Carina Medical is Awarded $150K in Kentucky SBIR/STTR Match Funding

Frankfort, KY -- The Cabinet for Economic Development KY Innovation awarded Carina Medical $150K SBIR/STTR Matching Funds.

“SBIR/STTR funds are a vital component in launching and growing innovative, high-tech companies here in Kentucky,” said Gov. Matt Bevin. “The commonwealth’s matching program is one of the strongest in the nation, enabling us to support early-stage companies with cutting-edge technologies. This year’s recipients are a testament to the outstanding work being done in our state across many disciplines. We look forward to watching them flourish right here in America’s engineering and manufacturing center of excellence.”

July 17, 2019

Carina Medical Team Wins the AAPM RT-MAC Grand Challenge

San Antonio, TX -- The Carina Medical team, composed of Xue Feng, Ph.D. and Quan Chen, Ph.D., won the first place in AAPM Auto-segmentation on MRI for Head-and-Neck Radiation Treatment Planning Challenge (RT-MAC) at 2019 AAPM annual meeting. In this open competition, teams from around the world competed to develop algorithms that learn the contouring of structures on Head-and-Neck MRI images.

This grand challenge is held in multiple phases. Phase 1 was completed before the 2019 AAPM annual meeting when teams applied their algorithms to segment 12 test images and upload their results for the challenge organizers to evaluate. Phase 2 was conducted live at the AAPM annual meeting when teams were provided with 10 new test images to segment. In both phases, the Carina Medical team edged out the Varian team to win the 1st place.

The analysis performed by the challenge organizers has showed that the contouring accuracy of Carina Medical’s algorithm has surpassed that of human experts’ manual contouring. This is further proof of the superiority of Carina Medical’s AI technology. Creating faster and more accurate segmentation algorithms will not only reduce the health care cost and provide a better treatment plan, but also make advanced treatment techniques such as adaptive radiation therapy more practical.

March 28, 2019

Carina Medical is Awarded $300K SBIR Grant from NIH to Develop AI Assisted Auto-Segmentation Software for Radiation Therapy Treatment Planning

Lexington, KY –- Carina Medical has received a $300,000 Phase I SBIR award from the National Institute of Health to develop AI assisted auto-segmentation software for radiation therapy treatment planning.

More than 60 percent of cancer patients will encounter radiation therapy during their course of treatment. In radiation treatment, both tumor and healthy organs have to be accurately contoured so that radiation oncology teams can produce plans that deliver enough dose to the tumor while sparing healthy organs. In current clinical practice, the main method of segmenting OARs is through manual contouring, which can be both time-consuming and inaccurate. A fast and accurate contouring software can not only reduce health care costs and provide a better treatment plan, but also advances the adoption of adaptive radiation therapy, which was previously bottlenecked by the contouring process.

Carina Medical will work with the University of Kentucky to develop and validate the auto-segmentation product.

September 16, 2018

Carina Medical wins Multimodal Brain Tumor Segmentation Challenge (BraTS) 2018

Granada, Spain –- Carina Medical Co-Founder, Dr. Xue Feng, is the first place winner in the BraTS 2018 Challenge, Survial Task. The goal of the competition was to identify the best machine learning algorithms for brain tumor segmentation and overall survival prediction. Dr. Feng finished first in the survival prediction task, winning a cash prize and an invitation to speak on the topic in BrainLes workshop at the MICCAI 2018 conference.