New CT Scanner Uses AI to Automate Workflow
|
By MedImaging International staff writers Posted on 27 Oct 2021 |

Image: The all new Revolution Ascend CT scanner (Photo courtesy of GE Healthcare)
A collection of artificial intelligence (AI) technologies increase operational efficiency by simplifying time-consuming tasks.
The new GE Healthcare (GE; Chicago, IL, USA) Revolution Ascend offers a 75 cm wide-gantry, 40 mm detector coverage, and lower table position, increasing patient area inside the bore by 22%. The increased bore size accommodates high body mass index (BMI) patients, as well as trauma cases that would be too delicate to maneuver in a smaller gantry. Revolution Ascend also comes with GE Healthcare’s Effortless Workflow, a suite of AI solutions that personalize scans accurately and automatically for each patient, while requiring significantly less effort from the CT technologist.
It starts with the technologist using the system’s attached bar code reader to automatically pull up the patient’s information and suggest relevant protocols. With one click, the CT technologist can then initiate Auto Positioning, which uses real-time depth-sensing technology to generate a 3D model of the patient’s body, and a deep learning algorithm to determine correct table elevation and cradle movements to align the center of the scan range with the isocenter of the bore. Intelligent tools embedded in the Clarity Operator Environment provide optimal scan range settings, dose, and image quality.
In all, Effortless Workflow’s AI-based features streamline the entire CT process by automatically positioning patients with 94% auto centering accuracy; suggesting protocols with 90% accuracy; automating and expediting workflows with 66% reduction in clicks; saving 56% of time for scan settings and 21% for the entire exam; reducing up to 91% image noise at the same dose; and doubling spatial resolution. Revolution Ascend also uses a dedicated deep neural network to generate TrueFidelity CT Images to help improve reading confidence in a wide range of clinical applications.
“We designed Revolution Ascend with accessibility in mind. Not only does the system’s hardware help accommodate more patients with various physical limitations, but its cutting-edge AI also helps expedite exams so healthcare system schedules can accommodate additional patient scans,” said Jean-Luc Procaccini, President and CEO of molecular imaging & CT at GE Healthcare. “Altogether, Revolution Ascend with Effortless Workflow helps empower clinicians to reach the right diagnosis as efficiently and precisely as possible for more patients.”
“The most time-consuming part of the CT experience isn’t the scan itself, but the steps that fall outside the scan,” said Timothy Szczykutowicz, PhD, author of The CT Handbook: Optimizing Protocols for Today's Feature-Rich Scanners. “The scan itself only takes a few minutes and the remainder of the time is dedicated to patient prep, including positioning the patient and identifying the correct protocols and settings, plus image reconstruction and report time. Historically, these have been manual processes, putting them at risk of human error; AI offers new opportunities to automate workflows and expedite exams with the same or better results.”
Related Links:
GE Healthcare
The new GE Healthcare (GE; Chicago, IL, USA) Revolution Ascend offers a 75 cm wide-gantry, 40 mm detector coverage, and lower table position, increasing patient area inside the bore by 22%. The increased bore size accommodates high body mass index (BMI) patients, as well as trauma cases that would be too delicate to maneuver in a smaller gantry. Revolution Ascend also comes with GE Healthcare’s Effortless Workflow, a suite of AI solutions that personalize scans accurately and automatically for each patient, while requiring significantly less effort from the CT technologist.
It starts with the technologist using the system’s attached bar code reader to automatically pull up the patient’s information and suggest relevant protocols. With one click, the CT technologist can then initiate Auto Positioning, which uses real-time depth-sensing technology to generate a 3D model of the patient’s body, and a deep learning algorithm to determine correct table elevation and cradle movements to align the center of the scan range with the isocenter of the bore. Intelligent tools embedded in the Clarity Operator Environment provide optimal scan range settings, dose, and image quality.
In all, Effortless Workflow’s AI-based features streamline the entire CT process by automatically positioning patients with 94% auto centering accuracy; suggesting protocols with 90% accuracy; automating and expediting workflows with 66% reduction in clicks; saving 56% of time for scan settings and 21% for the entire exam; reducing up to 91% image noise at the same dose; and doubling spatial resolution. Revolution Ascend also uses a dedicated deep neural network to generate TrueFidelity CT Images to help improve reading confidence in a wide range of clinical applications.
“We designed Revolution Ascend with accessibility in mind. Not only does the system’s hardware help accommodate more patients with various physical limitations, but its cutting-edge AI also helps expedite exams so healthcare system schedules can accommodate additional patient scans,” said Jean-Luc Procaccini, President and CEO of molecular imaging & CT at GE Healthcare. “Altogether, Revolution Ascend with Effortless Workflow helps empower clinicians to reach the right diagnosis as efficiently and precisely as possible for more patients.”
“The most time-consuming part of the CT experience isn’t the scan itself, but the steps that fall outside the scan,” said Timothy Szczykutowicz, PhD, author of The CT Handbook: Optimizing Protocols for Today's Feature-Rich Scanners. “The scan itself only takes a few minutes and the remainder of the time is dedicated to patient prep, including positioning the patient and identifying the correct protocols and settings, plus image reconstruction and report time. Historically, these have been manual processes, putting them at risk of human error; AI offers new opportunities to automate workflows and expedite exams with the same or better results.”
Related Links:
GE Healthcare
Latest Radiography News
- AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
- New AI Tool Helps Doctors Read Chest X‑Rays Better
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
- Ultra-Lightweight AI Model Runs Without GPU to Break Barriers in Lung Cancer Diagnosis
Channels
MRI
view channel
New Material Boosts MRI Image Quality
Magnetic resonance imaging (MRI) is a cornerstone of modern diagnostics, yet certain deep or anatomically complex tissues, including delicate structures of the eye and orbit, remain difficult to visualize clearly.... Read more
AI Model Reads and Diagnoses Brain MRI in Seconds
Brain MRI scans are critical for diagnosing strokes, hemorrhages, and other neurological disorders, but interpreting them can take hours or even days due to growing demand and limited specialist availability.... Read moreMRI Scan Breakthrough to Help Avoid Risky Invasive Tests for Heart Patients
Heart failure patients often require right heart catheterization to assess how severely their heart is struggling to pump blood, a procedure that involves inserting a tube into the heart to measure blood... Read more
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read moreUltrasound
view channel
Groundbreaking Technology to Enhance Precision in Emergency and Critical Care
Rapid and accurate imaging is essential for diagnosing life-threatening conditions such as myocardial infarction, heart failure, and pulmonary embolism. However, conventional ultrasound imaging of the... Read more
Reusable Gel Pad Made from Tamarind Seed Could Transform Ultrasound Examinations
Ultrasound imaging depends on a conductive gel to eliminate air between the probe and the skin so sound waves can pass clearly into the body. While the imaging technology is fast, safe, and noninvasive,... Read moreNuclear Medicine
view channel
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read more
Cancer “Flashlight” Shows Who Can Benefit from Targeted Treatments
Targeted cancer therapies can be highly effective, but only when a patient’s tumor expresses the specific protein the treatment is designed to attack. Determining this usually requires biopsies or advanced... Read moreGeneral/Advanced Imaging
view channel
AI Tool Predicts Side Effects from Lung Cancer Treatment
Radiation therapy is a central treatment for lung cancer, but even carefully targeted radiation can affect surrounding healthy tissue. Patients may develop side effects such as lung inflammation, coughing,... Read more
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more







