News | Artificial Intelligence | November 29, 2020

Agfa launches its SmartXR Assistant

At RSNA 2020, Agfa Radiology Solutions continues to deliver on its promise and vision to transform radiology, with intelligent and definitive answers for healthcare imaging needs

Agfa announced the launch of its SmartXR portfolio at RSNA, being held virtually. SmartXR uses a unique combination of hardware and AI-powered software to lighten radiographers’ workloads and provide image acquisition support.

November 29, 2020 — Agfa announced the launch of its SmartXR portfolio at RSNA, being held virtually. SmartXR uses a unique combination of hardware and AI-powered software to lighten radiographers’ workloads and provide image acquisition support. This newest member of Agfa’s DR portfolio offers key assistance during the radiology routine, which has proven to be very important during the COVID-19 crisis, as well as beyond.

‘Smart’ efficiency improvements

The SmartXR portfolio brings intelligence to digital radiography (DR) equipment at the point of care. Integrated sensors and cameras combined with powerful AI software, 3D machine vision, deep learning and machine intelligence, support the radiographer with first-time-right image acquisition. By reducing retakes, this speeds up the radiology workflow, and optimizes utilization and equipment costs.

Consistency matters

Along with fewer retakes, SmartXR offers other advantages for getting the best image with the lowest dose reasonably achievable. It provides recommendations on dose tailored to the patient, but also ensures greater consistency in positioning, exposure and AEC settings. Reducing variability, this enables more confident comparison of current and prior images, even when different radiographers are making the images.

Fewer clicks, greater confidence

SmartXR includes a range of tools designed to support the radiographer intelligently:

  • SmartAlign: uses sensors to ensure that the tube and panel are optimally aligned, and provides recommendations if necessary.
  • SmartPositioning: augments a first-person LiveVision camera view of the patient with smart overlays to project the image area and exposure control onto the patient’s body. Visual cues will indicate when positioning can be further optimized.  SmartDose: uses 3D machine vision to determine the thickness of the patient, and then tailors exposure parameters specifically for that patient's anatomy.
  • SmartRotate: uses a Deep Neural Net to interpret the image contents and automatically rotates the image in the correct orientation, ready for viewing, saving time in post-processing.

The SmartXR tools are currently available to upgrade the DR 600 highproductivity, fully automated X-ray room and the DR 100s high-productivity, ergonomic, mobile DR imaging solution, for comfortable bedside imaging.

“Last year we launched the DR 100s: a new generation in mobile DR. This year, we continue to deliver on our promise and our vision to transform radiology, by bringing intelligent and definitive answers to patients, with SmartXR. It offers a new kind of smart care, that turns the potential of AI into real advantages for digital radiography: enhanced clinical confidence, efficiency and productivity, 3/3 and the delivery of excellent patient care,” says Georges Espada, Radiography Solutions Business Group Leader at Agfa.

For more information: www.agfa.com

Related Agfa RSNA20 Content:

Talking Trends with Agfa

Related Content

A 37-year-old woman developed a new, palpable left supraclavicular lymphadenopathy lump five days after her first dose of the Moderna COVID-19 vaccine in the left arm. On the day of vaccination, the patient was asymptomatic. This is an example of how the vaccine can mimic cancer and swollen lymph nodes. Image used with permission of RSNA.

A 37-year-old woman developed a new, palpable left supraclavicular lymphadenopathy lump five days after her first dose of the Moderna COVID-19 vaccine in the left arm. On the day of vaccination, the patient was asymptomatic. This is an example of how the vaccine can mimic cancer and swollen lymph nodes. Read more about this case study. Image used with permission of RSNA.

Feature | Coronavirus (COVID-19) | April 09, 2021 | By Dave Fornell, Editor
While the mass COVID-19 vaccinat
3-D mammography reduces the number of breast cancer cases diagnosed in the period between routine screenings, when compared with traditional mammography, according to a large study from Lund University in Sweden. The results are published in the journal Radiology.

Getty Images

News | Breast Imaging | April 09, 2021
April 9, 2021 — 3-D mammography reduces the number of breast cancer cases diagnosed in the period between routine scr
IV contrast-enhanced 2-mSv 4-mm-thick transverse and coronal (b) CT images show inflamed diverticula (arrows), segmental colonic wall thickening, and adjacent pericolic fat stranding. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

IV contrast-enhanced 2-mSv 4-mm-thick transverse and coronal (b) CT images show inflamed diverticula (arrows), segmental colonic wall thickening, and adjacent pericolic fat stranding. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

News | Computed Tomography (CT) | April 09, 2021
April 9, 2021 — According to an open-acc...
Futuristic campus design of Siemens Healthineers in Bengaluru, India.

Futuristic campus design of Siemens Healthineers in Bengaluru, India.

News | Radiology Business | April 08, 2021
April 8, 2021 — Siemens Healthineers announced t
Varian announced it is collaborating with Google Cloud to build an advanced artificial intelligence (AI) based diagnostic platform to aid in the fight against cancer. Varian and Google Cloud AI embarked on a deployment journey, using Neural Architecture Search (NAS) technology via Google Cloud AI Platform, to create AI models for organ segmentation — a crucial and labor-intensive step in radiation oncology that can be a bottleneck in the cancer treatment clinical workflow.
News | Artificial Intelligence | April 08, 2021
April 8, 2021 — Varian announced it is collaborating with Google...
Brain tumors edged out by artificial intelligence: VBrain applies auto-contouring to the three most common types of brain tumors: brain metastasis, meningioma and acoustic neuroma.

Brain tumors edged out by artificial intelligence: VBrain applies auto-contouring to the three most common types of brain tumors: brain metastasis, meningioma and acoustic neuroma.

News | Artificial Intelligence | April 07, 2021
April 7, 2021 — Vysioneer, a leader in a...
Axial chest CT examination in a 54-year-old participant. A, On the axial noncontrast chest CT image, the pectoralis muscle (PM) area was segmented and measured in the section above the aortic arch. B, The subcutaneous adipose tissue (SAT) area as the area between the PM and the skin surface on the same section was also measured and the attenuation of pixels in the SAT area was used to determine the individualized threshold for the intermuscular adipose tissue (IMAT). C, The IMAT within the PM was segmented

Axial chest CT examination in a 54-year-old participant. A, On the axial noncontrast chest CT image, the pectoralis muscle (PM) area was segmented and measured in the section above the aortic arch. B, The subcutaneous adipose tissue (SAT) area as the area between the PM and the skin surface on the same section was also measured and the attenuation of pixels in the SAT area was used to determine the individualized threshold for the intermuscular adipose tissue (IMAT). C, The IMAT within the PM was segmented as the areas with Hounsfield units below this threshold for the IMAT (arrowheads). Image courtesy of the Radiological Society of North America

News | Computed Tomography (CT) | April 07, 2021
April 7, 2021 — Body composition information derived from routine chest...
Ultrasound is an invaluable diagnostic tool for the early detection of breast cancer, but the classification of lesions is sometimes challenging and time consuming. Could artificial intelligence hold the answer to solving these problems? Graphic courtesy of Chinese Medical Journal

Ultrasound is an invaluable diagnostic tool for the early detection of breast cancer, but the classification of lesions is sometimes challenging and time consuming. Could artificial intelligence hold the answer to solving these problems? Graphic courtesy of Chinese Medical Journal

News | Artificial Intelligence | April 06, 2021
April 6, 2021 — In 2020, the International Agency for Research on...
Nano-X Imaging Ltd (Nanox), an innovative medical imaging technology company, announced that its single-source Nanox.ARC digital x-ray technology has received 510(k) clearance from the US Food and Drug Administration.
News | X-Ray | April 02, 2021
April 2, 2021 — Nano-X Imaging Ltd.