"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
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
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
Xeleris V's new AI-enabled clinical applications work to streamline workflows, provide accurate data, and help expedite diagnoses across care areas:
* Q.Volumetrix AI: Already, 90 percent of healthcare professionals with AI deployments confirm automating and prioritizing workflows is the technology's key benefit[iii]. Q.Volumetrix AI builds on this success, expediting processes by enabling advanced segmentation and quantitation capabilities for SPECT/CT and PET/CT data without impeding workflow for both baseline and longitudinal studies.
* Q.Lung AI: For important procedures like lung resection, a reliable pre-operative assessment of lung function is essential. With 2.21 million lung cancer deaths per year[iv], uncertain estimations provided by existing planar imaging techniques are not enough. To assist with diagnoses, Q.Lung AI automatically segments lung lobes for preoperative functional assessment of lung cancer cases. For pulmonary embolism cases, it automatically segments the lungs and trachea for 3D evaluation of ventilation and perfusion. In turn, Q.Lung AI demonstrated an overall success rate of 89 percent[v] and reduced the number of manual clicks by an average of 57 percent[vi].
* EXINI Bone: An estimated 3,610 individuals in
* Q.Thera AI[viii]: The industry-wide trend toward precision care has increased the complexity of manual workflows like organ segmentation and dose calculations. Q.Thera AI is designed to help clinicians automatically and accurately segment organs for quantitation and dosimetry calculations, all with the goal to help reduce the time required for the user to process and calculate dose by more than 55 percent - enabling them to spend more time with patients.
Xeleris V and its advanced applications are offered as an upgrade to existing Xeleris workstations or by acquiring Smart Subscription,
Altogether, Xeleris V and its advanced AI applications combined with
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[i]
[ii] Physician Income Drops, Burnout Spikes Globally in Pandemic,
[iii] MIT Technology Review in partnership with
[ix] Q.Thera AI: CE marked. Not for sale in the
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