👉 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!
MPR, Simplified for the Web
Making MPR Simple in the Browser
One question we often get is how to make multiplanar reconstruction (MPR) feel effortless on the web. Our goal is to make it as intuitive as slicing through a 3D loaf, clear, consistent, and fast. Here’s how it works: open a DICOM study (like a brain MRI) directly in the browser,no installs needed. When you enable MPR, you instantly see three synchronized views: axial, coronal, and sagittal. Move the crosshair in one, and the others follow. It’s a smooth way to track small details like lesions across planes, without losing context. By keeping it web-based and collaborative, we’re helping make advanced imaging tools simpler for everyday clinical use. ​ Prompt Engineering in HealthcareAs AI tools become more common in healthcare, knowing how to talk to them is becoming a real skill. That’s what “prompt engineering” is all about giving AI the right instructions to get useful, accurate answers. In medicine, this matters a lot. Whether you’re using ChatGPT to summarize a research paper or to draft patient communication, the quality of your prompt shapes the quality of the output. Clear, specific, and well-framed prompts can save time and help avoid errors. It’s not about mastering every tool, it’s about knowing how to guide the one you’re using. As AI becomes part of daily clinical workflows, this kind of skill might soon be as essential as knowing how to search PubMed. ​
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 ↓ Zoom That Works Everywhere If you can’t zoom any pane in your web DICOM viewer, you’re doing extra work for no reason. Think of it like this: when something is small, you bring it...
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 ↓ A Quick Look at Our Volume Measurement Tool One of the tools we’ve been working on is a simple way to estimate 3D volumes directly inside the viewer. You start by drawing a...
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...