GE HealthCare debuts AI-supported solution, designed to improve and shorten the radiation therapy workflow, at ASTRO 2025
- Early adopters of Intelligent Radiation Therapy (iRT) to date have reduced simulation to treatment planning time from seven days to seven minutes1 via integration with RayStation® by RaySearch Laboratories
- The new version of iRT enhances connectivity, uses insights to improve efficiency, and includes a solution to manage workflows for the emerging field of theranostics
- GE HealthCare will spotlight its comprehensive radiation oncology portfolio at its booth, underscoring the company’s commitment to accelerating global access to radiation therapy
iRT seeks to improve workflow efficiencies
Radiation therapy is a treatment nearly
- Analytics reporting: gives department administrators a holistic view to analyze efficiency, identify operational gaps, and document trends.
- Staff scheduler: accounts for out of office schedules using an intelligent resource management tool to optimize staffing, helping to reduce treatment delays.
- Auto-segmentation of organs at risk by MR Contour DL6: uses AI to outline sensitive organs near the tumor so they can be protected during treatment, a process that was previously entirely manual. iRT has enabled connection with a GE HealthCare developed AI-model, MR Contour DL, for MR imaging and is interoperable with third-party devices MVision Contour+ for CT imaging, in addition to current interaction with MIM Contour ProtégéAI+™.
- VERT virtual reality app from Vertual Ltd: connects to a third-party application that allows clinicians to walk patients through a simulation of the treatment process, helping reduce the fear of the unknown, and uses advanced 3D models to enhance staff training.
- Greater connectivity: integrates with the systems radiation oncology departments use most, with a vendor-neutral approach, including electronic medical records (EMR), oncology information systems (OIS), and other fast healthcare interoperability resources (FHIR).
“We are transforming the radiation therapy experience for patients and clinicians with our Intelligent Radiation Therapy solution, helping clinicians move from diagnosis to treatment in minutes, not days,” says Ben Newton, GE HealthCare’s general manager for Oncology Solutions. “We’re thrilled to share the latest features in iRT designed to bring greater precision, efficiency, and personalization to cancer care.”
Introduction of iRT for theranostics
Theranostics is a branch of nuclear medicine that uses molecular imaging and targeted radionuclide therapies aimed at the same biological target to treat cancer in the body and is gaining interest for advanced-stage cancer outcomes. These therapeutic and diagnostic technologies work together to enable a personalized, highly precise, patient-centric approach to medical diagnosis and treatment. Today, many steps of the workflow are manual, which is further complicated by the significant communication and triage needed to facilitate a patient’s treatment plan, leading to wasted doses of medication or delayed treatments.7
The iRT features for theranostics aim to bring a unified view to this highly complex treatment. It integrates with EMRs and OIS to give a holistic view of the patient journey and guide clinicians step-by-step through patient intake, patient assessment, scheduling, medication dosing, dosimetry, and clinical reviews.
“Miami Cancer Institute is pleased to collaborate with GE HealthCare on iRT, an innovative solution designed to address the rapidly evolving landscape of radiopharmaceuticals,” said Dr. Ranjini Tolakanahalli, director of photon physics at Miami Cancer Institute, part of Baptist Health South Florida. “Together, we are developing a solution where clinical priorities shape design, ensuring future solutions are informed by real-world medical expertise.”
Full suite of radiation oncology solutions on showcase at ASTRO 2025
GE HealthCare will also showcase the latest versions of the following radiation oncology solutions aimed at improving radiation oncology outcomes for patients at ASTRO 2025:
- MIM Maestro: Now with a reirradiation and composite plan assessment workflow, MIM Maestro empowers clinicians to make confident treatment decisions in scenarios where clinicians are evaluating multiple past treatments. Clinicians can visualize any number of prior external beam radiation therapy (EBRT) plan doses on current anatomy and account for radiobiological effects—all within a single, flexible workflow. Using rigid or deformable image registration, dose is accurately adjusted per structure, while iterative planning enables comparison of multiple treatment options and comprehensive dose visualization for EBRT plans from any vendor.
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iRT MR Direct Solution: The iRT advanced AI solution enables MRI-only RT Planning for Brain/Head and Neck/Pelvis. iRT MR Direct complements GE HealthCare’s proven AIR RT Suite MR-simulation solution and is designed to help clinicians within each workflow step, from positioning to contouring and simulation for RT planning. iRT MR Direct includes:
- MR Contour DL: An AI-enabled application that automatically contours organs-at-risk (OAR) for head and neck and pelvis on MR images.
- MRI Planner: An AI-enabled technology from Spectronic Medical that generates synthetic CT images from MR images for dose calculation.
Additionally, GE HealthCare is hosting a lunch symposium, “Converging beams: Radiation therapy meets radioligand therapy,” on Sept. 28 at 12:00 p.m. PT. This expert panel will explore the underlying biological rationale and emerging clinical evidence, while also delving into real-world implementation strategies for combining these modalities across diverse oncology program settings.
To learn more about GE HealthCare’s oncology care solutions, please visit booths #225 and #325 at the Moscone Center in
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1 Based on two InstaPlan (iRT + RayStation by RaySearch) clinical studies in |
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2 American Society for Radiation Oncology. Radiation Oncology Case Rate (ROCR) Report. June 26, 2023. https://www.astro.org/ASTRO/media/ASTRO/Advocacy/PDFs/ROCRReport.pdf. |
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4 Gopan, Olga, Jing Zeng, Avrey Novak, Matthew Nyflot, and Eric Ford. 2016. “The Effectiveness of Pretreatment Physics Plan Review for Detecting Errors in Radiation Therapy.” Journal of Applied Clinical Medical Physics 17 (5): 16–31. https://doi.org/10.1118/1.4961010.[1](https://aapm.onlinelibrary.wiley.com/doi/pdf/10.1118/1.4961010) |
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5 Based on two InstaPlan (iRT + RayStation by RaySearch) clinical studies in |
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6 Not available in all regions. |
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7 GE HealthCare internal data. Results may vary. The statements by GE HealthCare customers are based on their opinions and results achieved in their unique setting. Since many variables exist (i.e., size, case mix, etc.), there can be no guarantee that other customers will achieve the same results. |
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Media Contact
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+1 612-219-2855
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Source: GE HealthCare