👉 Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | 💡 The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
Building DICOM Viewers the Smart Way
Building a Smarter DICOM Viewer with Plugins
One of the best decisions we made when building our DICOM viewer was turning each functionality into a plugin. This approach gave us a solid base for the web app, supporting multiple layouts like MPR, MPR+VR, and MPR+3D Mesh. Each plugin handles a specific task, using VTK on the backend and Vue.js on the frontend, all running inside a Trame application. The beauty of this setup? You can easily add or remove modules based on client needs without touching the core app. This flexibility makes it simple to create custom solutions while keeping the main viewer stable just like how 3D Slicer extensions work. If you’re building your own DICOM viewer, this modular approach can save time and headaches. And if you need help, the PYCAD team is always here to support you. The Most Overhyped Technologies in HealthcareNot every futuristic-sounding health innovation is ready for prime time. From 3D-printed drugs and digital contact lenses to humanoid nurse robots and medical tricorders, some technologies have generated more buzz than real world impact. Experts warn that hype can slow progress by creating false expectations and putting unnecessary pressure on innovators. The key takeaway? Stay optimistic, but keep both feet on the ground breakthroughs take time, and not every headline translates into immediate clinical use.
That's it for this week's edition, I hope you enjoyed it! |
Machine Learning for Medical Imaging
👉 Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | 💡 The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ How We Build Our DICOM Viewers Using Plugins One thing we focus on when building DICOM viewers is keeping every feature as a separate plugin. This gives the app a clean structure...
Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ AI & Health Insurance Claims: Helpful Future or Hidden Risk? AI is becoming a key part of how insurance companies handle medical claims, and a recent article offered a clear...
Hi Reader, Welcome to the PYCAD newsletter, where every week you receive doses of machine learning and computer vision techniques and tools to help you learn how to build AI solutions to empower the most vulnerable members of our society, patients. Why Medical Imaging Is Moving to the Browser There’s a clear shift happening in medical imaging: more and more platforms are going web-first. And it’s not just for design reasons. When imaging tools run in the browser, doctors don’t have to install...