The Data Metro – Automating Data Workflows Using Jenkins and EC2

Deep Learning AI Improving Workflows

Jacob Platin, Christopher Ye, Charles An – Aidoc A.I. Software Engineering Interns Every summer, Aidoc hosts international interns who have the opportunity to take on active roles on our AI, R&D and Business teams. These individuals gain hands on work experience, learn new skills and become better prepared for employment by working alongside our highly […]

The Data Metro – Applying the principles of “Clean Code”

Deep learning AI building

Christopher Ye, Jacob Platin, Charles An – Aidoc A.I. Software Engineering Interns Every summer, Aidoc hosts international interns who have the opportunity to take on active roles on our AI, R&D and Business teams. These individuals gain hands on work experience, learn new skills and become better prepared for employment by working alongside our highly […]

A Proven Methodology for Building a Strong AI Team

ai-team

Each week one of our AI team members dedicates a few days to learn novel concepts in deep learning or software engineering and present them to the team – we call these talks “Deep Snips”. We do this mainly by reading academic papers from leading groups, books and blog posts. We are not intimidated by […]

3 Predictions for Radiology AI in 2019

Future of radiology predictions for 2019

2018 was a big year for AI in radiology. The FDA accelerated its clearance process by approving over a dozen medical AI solutions. Tech giants like Philips and GE introduced their own AI technology platforms, promising to address the full process of building, maintaining, deploying and scaling AI solutions. And most importantly, AI is finally […]

We’ve partnered with the ACR Data Science Institute on an Industry-first AI Validation Process

Today is a remarkable day for AI in radiology. I’m honored to announce our partnership with the American College of Radiology Data Science Institute, the University of Rochester Medicine and Nuance Healthcare for an industry-first initiative, contributing to the recently launched ACR-DSI ASSESS-AI registry. Our always-on AI solution is currently deployed at the University of […]