This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
When it comes to medicalimaging, radiology is what most often comes to mind, and for good reason. A large percentage of medicalimaging created by most hospitals tends to come from the radiology department. In most cases, medicalimages and scans are placed into an electronicmedicalrecord (EMR) as a link.
AI was the talk of the show with seemingly every other vendor promoting AI except those within the medicalimaging community. I would also love to have seen more discussion and examples of systems integration, especially with electronicmedicalrecords (EMR).
Available in black, it offers hospitals a powerful, secure shared computing solution with a 1920x1080 LG IPS panel, an integrated FHD webcam and instant login enabled through a dual-band RFID reader at the base of the screen. This white model also complies with IEC 60601 standards for medical electrical equipment.
Computer vision (CV) : Another form of machine learning, it is the process by which a computer gains information and understanding from images and videos. In some advanced forms of CV, there are deep learning capabilities that can recognize, interpret and categorize images.
We organize all of the trending information in your field so you don't have to. Join 5,000 users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content