GE Healthcare Introduces Advance AI solutions in Nuclear Medicine

11 May 2021 | Tuesday | News

GE Healthcare Introduces a New Virtual Solution with AI Enabled Applications For Precision Health in Nuclear Medicine


To help provide nuclear medicine clinicians greater flexibility and more time with patients, GE Healthcare today unveiled Xeleris V – a new virtual processing and review solution. Xeleris V eliminates the need for a standalone nuclear medicine workstation so that clinicians can have secure access to data from various locations. This increase in access – paired with new AI-enabled applications and GE Healthcare’s large install base of nuclear medicine cameras – can simplify and enhance workflows to help clinicians quickly discover, diagnose, and treat patients with accuracy.

As we work to rebuild, recover and reimagine healthcare going forward, we believe AI will be critical in helping healthcare systems maximize resources to more quickly and easily deliver personalized care,” explains Jean-Luc Procaccini, President & CEO, Molecular Imaging & Computed Tomography, GE Healthcare. “Xeleris V helps do just that, offering clinicians a new way of working that enables more time with patients and helps them reach quick, confident diagnoses using the latest innovative technologies across all their devices.”

Market research shows that 73 percent of radiologists expect operational efficiency to be the main challenge in the next 1-3 years[i], while 64 percent of surveyed clinicians note that physician burnout has intensified during the pandemic[ii]. These statistics highlight a growing need for increased flexibility, access and efficiency in healthcare today.

“No one wants to spend their day clicking through windows at a workstation, but today’s manual workflows –such as organ segmentation – are time-consuming, tedious and highly operator-dependent processes,” explains Michael Soussan, MD, PhD, Professor of Medicine and Chief of the Nuclear Medicine Department at Avicenne Hospital. “Automating these workflows and gaining easy access to reproducible and precise results is essential to providing quality patient evaluation and treatment.”

Removing the limitations of a traditional nuclear medicine workstation, Xeleris V offers clinicians a virtualized, flexible AI-powered solution that provides clinicians secure access to data from anywhere – helping them make personalized care decisions and treatment recommendations that are at the heart of precision health.

“With AI-based technologies, we gain speed, confidence and reproducibility – it is transforming the radiology imaging process by delivering precise results that can help expand the utilization of nuclear medicine to personalize the patient treatment pathway,” adds Professor Soussan, whose nuclear medicine team at Avicenne Hospital evaluated GE Healthcare’s new Q.Lung AI solution. “Even in my own practice, I’ve observed that as we gain the surgical team’s confidence by providing precise results, we have the opportunity to be more involved in guiding the individualized care provided to each patient.”

Xeleris V’s new AI-enabled clinical applications work to streamline workflows, provide accurate data, and help expedite diagnoses across care areas:

Xeleris V and its advanced applications are offered as an upgrade to existing Xeleris workstations or by acquiring Smart Subscription, GE Healthcare’s innovative subscription service that keeps hospital system devices synchronized to each other and to the latest software[ix].

Altogether, Xeleris V and its advanced AI applications combined with GE Healthcare’s 800 and 600 Series nuclear medicine scanners provide clinicians with easy and fast access to the data they need to help them make personalized care decisions and treatment recommendations. GE Healthcare is uniquely positioned to advance these precision health efforts as the only partner with solutions spanning from pharmaceutical diagnostics, cyclotrons, chemistry synthesis, PET/CT, PET/MR, nuclear medicine, advanced digital solutions and pharma partnerships, covering the breadth of steps from discovery to diagnosis to treatment.


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