News | Clinical Decision Support | November 21, 2018

Guerbet Showcases Ongoing Collaboration With IBM Watson at RSNA 2018

Key collaborations will offer expanded capabilities to improve decision-making and patient care

Guerbet Showcases Ongoing Collaboration With IBM Watson at RSNA 2018

November 21, 2018 — Guerbet LLC USA will feature its digital solutions including its ongoing collaboration with IBM Watson Health in medical imaging, at the 2018 annual meeting of the Radiological Society of North America (RSNA), Nov. 25-30 in Chicago.

Watson Imaging Patient Synopsis is a radiologist-trained artificial intelligence (AI) tool that extracts relevant patient information summarized into tailored, specific and concise single-view reports to better inform diagnostic decisions. Guerbet will demonstrate Patient Synopsis at RSNA 2018 alongside its Digital Services offerings.

Guerbet, an IBM Business Partner, and IBM are finalizing the terms by which Guerbet will become the first reseller of Patient Synopsis. This planned reseller relationship is in addition to IBM and Guerbet's ongoing efforts to co-develop and distribute new clinical decision support solutions. Earlier this year, Guerbet signed a joint development agreement with IBM Watson Health to develop an AI software solution supporting liver cancer diagnostics and care.

Guerbet's Contrast&Care is also part of Guerbet's Digital Services offerings. It enables radiology departments to collect, archive, examine and share contrast injection data directly with Guerbet's injectors, advancing data transfer and accuracy in dosing to help radiologists best serve patients. Likewise, at RSNA, Guerbet will display Imalogix, a cloud-based performance management and dose monitoring solution already available in the USA market.

For more information: www.guerbet-us.com

Related Content

The U.S. Food and Drug Administration (#FDA) authorized marketing of #Medtronic's #GIGenius, the first device that uses #artificialintelligence (#AI) based on #machinelearning to assist #clinicians in detecting #lesions (such as #polyps or suspected tumors) in the #colon in real time during a c#olonoscopy.

The GI Genius intelligent endoscopy module works in real-time, automatically identifying and marking (with a green box) abnormalities consistent with colorectal polyps, including small flat polyps.

News | Artificial Intelligence | April 12, 2021
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.