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GE Healthcare Unveils AI-Powered Revolution RT for Cancer Care

Written by : Arti Ghargi

May 2, 2024

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Image Source: GE Healthcare Website

Revolution RT is designed to integrate innovative hardware and software solutions to enhance imaging capabilities and streamline workflow.

Leading medtech company GE Healthcare has unveiled Revolution RT, a radiation therapy computed tomography (CT) solution at the European Society for Therapeutic Radiology and Oncology (ESTRO) 2024 Congress held at Glasgow.

As per the medtech giant, this latest innovation in oncology care is aimed at enhancing imaging accuracy and streamlining simulation workflow for clinicians and patients.

Cancer is a complex disease and thus oncology care requires personalization of treatment at the patient level. Additionally, any delay in the diagnosis can significantly increase the mortality risk.

Commenting on the launch, Dr Taha Kass-Hout, chief technology and science officer, GE Healthcare, said, "Our showcase at ESTRO this year highlights innovations that will allow clinicians to view the patient’s anatomy with great accuracy, helping facilitate precise tumor targeting while aiming to protect nearby healthy tissue.”

Features of Revolution RT

As per GE Healthcare, the Revolution RT is designed to integrate innovative hardware and software solutions to enhance imaging capabilities.

It comes with a wide-bore CT platform and high-performance radiation therapy simulation, diagnostic, and interventional capabilities to accommodate more patients.

The imaging technology also incorporates precision radiotherapy simulation and deep learning technology to facilitate accurate imaging and enable precise tumor targeting while minimizing damage to healthy tissue, GE said.

Other Latest AI Innovations of GE Healthcare

Apart from Revolution RT, GE Healthcare presented a slew of other technologies at ESTRO 2024 including an updated and AI-enhanced version of its Intelligent Radiation Therapy in 2024.

The iRT platform interfaces with the Spectronic MRI Planner and offers greater interoperability, connectivity, and efficiency throughout the radiation oncology care continuum, GE revealed.

It also enables seamless data transfer and task automation, which aid in streamlining the radiation therapy pathway and improving patient outcomes.

Dr Ben Newton, general manager, Oncology at GE HealthCare said that the company is working closely with clinicians globally to develop the iRT platform to streamline the radiation therapy pathway.

“The aim is to connect disparate multi-vendor application systems, creating a vendor-agnostic ecosystem and harnessing the power of AI to potentially reduce the critical time between treatment planning and first treatment," Newton added.

GE will also showcase its recently acquired MIM software which brings imaging analytics and digital workflow offerings to the company's portfolio.

The MIM Software portfolio complements GE Healthcare's imaging solutions and provides clinicians with complementary interoperable solutions that simplify complex planning and deliver faster treatment.

Moreover, the addition of MIM Software’s radiation oncology portfolio is designed to provide clinicians with complementary interoperable solutions that can help simplify complex planning and deliver faster treatment.

The acquisition of MIM Software also expands GE Healthcare's relationship with Elekta, a leader in precision radiation oncology.

GE Healthcare recently unveiled two new AI-Powered technologies. Last month, it launched Voluson Signature 20 and 18 ultrasound systems, designed for precision imaging of complex healthcare issues faced particularly by women in pregnancy-related complications and reproductive system disorders.

In March, the medtech giant announced a partnership with chipmaker NVIDIA to build SonoSAMTrack, an AI-powered research model for ultrasound image segmentation.

Additionally, it received FDA clearance for its Portrait VSM vital signs monitor device designed to provide clinicians with an accurate view of patient vital signs, facilitating timely clinical decisions.


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