- Support & Services
Welcome to the 13th episode of Beyond the Screen, a podcast that aims to spark discussion about cutting-edge and innovative technologies in the advanced visualization space. In the last episode of Beyond the Screen, we spoke with Daniel Mollura who founded the nonprofit RAD-AID International whose efforts are focused on bringing health institutions around the world into a state where they can deploy and manage radiology departments. For every one of these places they bring up to speed with radiology, they're helping to save hundreds or thousands of lives.
This week, we learn the details of how this organization is making that all possible. Dan will explain how low-resource countries are able to store and manage data through a hybrid solution called the RAD-AID Friendship System. This approach offers a local onsite server plus cloud backup through the Google Cloud Platform, and partners Ambra Health and Tribalco. This turnkey and low footprint cloud structure can operate well without needing all that extra and costly infrastructure that a hospital would need to have to invest.
Dan mentions that the amazing process of digitally transforming a hospital is just the beginning. Once clinical education and infrastructure are put in place, the adoption of AI becomes a real possibility. RAD-AID introduces AI into their programs as an educational component through vendor-neutral frameworks to show what AI looks like and how to interact with it.
Radiology is doing a great job when it comes to looking at these new technologies and adopting them into how we think about patient care. This pathway is a way of getting people to think about AI in this new era of technology and the impact it can have on these low-resource regions and medically underserved communities.
You can learn more about RAD-AID and its volunteer program here.
Have a question about today’s episode or want to join the discussion about cutting-edge and innovative technologies in the advanced visualization space? Email us at email@example.com.
This podcast is brought to you by TeraRecon, the leader in advanced visualization, image sharing, post-processing, and artificial intelligence solutions.