News | Remote Viewing Systems | November 10, 2020

Ambra Health Debuts ProViewer, an Advanced Cloud-Based Diagnostic Viewer

Ambra Health announced the launch of Ambra ProViewer, the company's next generation cloud-based diagnostic image viewer built for today's needs. ProViewer joins Ambra Health's revamped suite of imaging tools and enables advanced anytime, anywhere access to medical imaging.

November 10, 2020 — Ambra Health announced the launch of Ambra ProViewer, the company's next generation cloud-based diagnostic image viewer built for today's needs. ProViewer joins Ambra Health's revamped suite of imaging tools and enables advanced anytime, anywhere access to medical imaging.

"Medical imaging innovation is in our DNA, and we are thrilled to make this available at a moment when digital image management has never been more important or in demand," said Chantel Hopper, Vice President of Customer Success at Ambra Health. "This is one more great option for customers seeking advanced viewing capabilities."

Developed hand-in-hand with leading healthcare facilities, Ambra's FDA cleared ProViewer and cloud PACS system enable medical groups to manage diagnostic images and supplemental photos and videos using configurable workflow rules for routing and integrated reporting. Ambra's imaging suite enables easy sharing of images, mobile access from anywhere at any time for quick reads, as well as full diagnostic, read-at-home and teleradiology capabilities with only a web browser. Key features of Ambra ProViewer include:

  • Easy to Deploy and Highly Customizable: Enable users to personalize their viewing experience with customizable keyboard shortcuts and an intuitive interface. ProViewer can be instantly deployed as a diagnostic reader for physicians or as a universal viewer across the enterprise.
  • Advanced Toolsets: Advanced visualization and analysis tool sets designed for research, orthopedics, oncology and more. Robust visualization features including multi-planar reconstruction, surface and volume rendering, and anatomical reordering to name a few.
  • Anytime, Anywhere Access: ProViewer is supported by all major web browsers with no downloads required as well as on mobile devices with the Ambra App for iOS and Android. 

Providers Increasingly Turning to Cloud-Based Imaging Systems For Remote Viewing

Ambra Health is at the forefront of the transformation of medical imaging through cloud technology. Using Ambra Suite, physicians can safely and easily power all their image management needs including CD upload, image exchange and storage, and image-enabling patient portals, physician portals, second opinion workflows, trauma transfer, telestroke, and clinical trials.

The Ambra cloud suite powers image exchange and more at seven of the top 10 hospitals and six of the top 10 children's hospitals, as well as leading radiology practices, subspecialty groups, and life sciences companies. Ambra is now the image management solution for leading healthcare providers such as UC San Diego, Memorial Hermann, Johns Hopkins, and New York Presbyterian. There are more than 600,000 users in the Ambra Health network across 50+ countries with over one million log-ins per month.

The company was recently named a finalist in the prestigious UCSF Digital Health Awards, has been recognized by KLAS research as the top medical image exchange vendor for six years running, and was named Best Healthcare Technology Solution in the annual SIIA Company CODiE Awards.

Ambra Health will be demonstrating ProViewer at the upcoming virtual RSNA conference November 29 through December 4. To learn more, sign up for the product debut webinar, here

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
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...