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 overview of what’s improving and what remains worrying. AI systems are now used to verify documents, read medical notes, compare with previous claims, and even decide whether a treatment should be approved. And while this can make the process faster, several concerns are growing:
Some states in the U.S. have started regulating this, requiring human oversight and more patient-centred criteria. There are also new AI tools helping patients draft appeal letters, an interesting twist. Overall, AI will play a bigger role in insurance claims. Whether it becomes helpful or dystopian depends entirely on how it’s governed. ​ Feature Spotlight: Measure Surface Areas in SecondsAnalyzing a specific region inside your scan shouldn’t feel complicated, and now, it doesn’t. With our new surface area measurement tool, you can outline any region of interest directly inside the viewer. Just draw a polygon on the slice you’re viewing (axial, sagittal, or coronal) and confirm with a right-click. The area appears instantly. From there, you’re fully in control:
It’s simple. It’s fast. And it brings powerful regional analysis right into your workflow, no exporting, no extra steps.
That's it for this week's edition, I hope you enjoyed it! |
👉 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 ↓ 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...
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...