Technology | Mobile Devices | November 09, 2018

Ambra Health Launches Mobile App for Instant Medical Image Access

Users can view and share imaging from anywhere with smartphone functionality

Ambra Health Launches Mobile App for Instant Medical Image Access

November 9, 2018 — Ambra Health announced the launch of its first iOS mobile app for healthcare providers and patient access. Designed with accessibility and ease of viewing in mind, the new Ambra Health app offers healthcare providers an intuitive image viewing experience, fully optimized for mobile viewing, according to the company.

Once securely logged in to the app, users benefit from instantaneous access to current and prior images in study lists with zero loading time. Users can view imaging from anywhere, scroll through a series, and utilize radiology tooling like zooming, pinching and rotating all from the palm of their hand. The Ambra app supports all imaging types from any connected picture archiving and communication system (PACS), including magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), computed radiography (CR), ultrasound (US) and mammography (MG). While not intended for diagnostic use, imaging can be securely shared directly from within the app to other physicians, administrators, and patients for enhanced communication and collaboration.  

The Ambra app, which was developed in close collaboration with providers, allows physicians to access imaging on the go and communicate securely with other physicians and even patients. "With the Ambra app, I'm able to view a patient's imaging and scroll through priors instantaneously. The app is really intuitive and as easy as viewing images in my office," said Todd Lempert, M.D., CEO, Coast Radiology and chief, interventional radiology and diagnostic neuroradiology, Mission Hospital, Laguna Beach, Calif. "I've also gained the capability to share imaging with other providers in a secure manner from anywhere. I can provide context immediately without having to wait for the images to load on my computer or run back to the office."

Providers can download the app by visiting the Apple App Store here.

For more information: www.ambrahealth.com

Related Content

#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 A brief article from Henry Ford Health System in Detroit, published today in Radiology, reports on the first presumptive case of COVID-19–associated acute necrotizing hemorrhagic encephalopathy.

A, Image from noncontrast head CT demonstrates symmetric hypoattenuation within the bilateral medial thalami (arrows). B, Axial CT venogram demonstrates patency of the cerebral venous vasculature, including the internal cerebral veins (arrows). C, Coronal reformat of aCT angiogram demonstrates normal appearance of the basilar artery and proximal posterior cerebral arteries. Image courtesy of the Radiological Society of North America (RSNA)

News | Coronavirus (COVID-19) | March 31, 2020
March 31, 2020 — A brief article fr
RSNA's open data repository will compile images and correlative data to create a comprehensive source for COVID-19 research and education efforts #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Coronavirus (COVID-19) | March 30, 2020
March 30, 2020 — The medical imaging community around the world is uniting to help address the...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

Typical CT imaging features for COVID-19. Unenhanced, thin-section axial images of the lungs in a 52-year-old man with a positive RT-PCR (A-D) show bilateral, multifocal rounded (asterisks) and peripheral GGO (arrows) with superimposed interlobular septal thickening and visible intralobular lines (“crazy-paving”). Routine screening CT for diagnosis or exclusion of COVID-19 is currently not recommended by most professional organizations or the US Centers for Disease Control and Prevention. Image courtesy of RSNA

News | Coronavirus (COVID-19) | March 26, 2020
March 26, 2020 — The Radiological Society of North America (RSNA
Instant triage capability could potentially speed up diagnosis of COVID-19 individuals and ensure resources allocated properly.
News | Artificial Intelligence | March 23, 2020
March 23, 2020 — behold.ai announced that its artificial intellige
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

Representative examples of the attention heatmaps generated using Grad-CAM method for (a) COVID-19, (b) CAP, and (c) Non-Pneumonia. The heatmaps are standard Jet colormap and overlapped on the original image, the red color highlights the activation region associated with the predicted class. COVID-19 = coronavirus disease 2019, CAP = community acquired pneumonia. Image courtesy of the journal Radiology

News | Coronavirus (COVID-19) | March 20, 2020
March 20, 2020 — An arti...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

Series CT scans in 35-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 1 showed multiple pure ground-glass opacity (GGO) mainly in right lower lobe. (b) Scan obtained on illness days 5 showed increased extent of GGO and early consolidation. (c) Scan obtained on illness days 11 showed multiple consolidation with almost the same extent. (d) Scan obtained on illness days 15 showed a mixed pattern with a slightly smaller extent, and the perilobular consolidation might suggest the presence of organizing pneumonia. The patient was discharged on illness days 17. Image courtesy of the journal Radiology

News | Coronavirus (COVID-19) | March 20, 2020
March 20, 2020 — In a new study pub
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SBI20

Image courtesy of Getty Images

News | Coronavirus (COVID-19) | March 17, 2020
March 17, 2020 — The journal Radiology ...