Medical imaging professional exploring the intersection of AI and healthcare. 🩻 Tweeting about radiological science, biomedical engineering, and the tech.
AI is not replacing imaging professionals, but it is fundamentally changing the skills we need to stay relevant. Understanding how to validate and work alongside these algorithms is the new baseline.
Follow me @HalaalNetwork as we navigate the future of MedTech together. 🚀
In the last batch of FDA clearances for AI-enabled medical devices, 76% of them went to one single specialty:
Radiology and Medical Imaging. 🩻
If you work in diagnostics, your workflow is about to look completely different. Here is what is actually happening: 🧵👇
The hardware itself is also changing.
Top manufacturers are embedding AI directly into the scanners. We are seeing Deep Learning Reconstruction (DLR) algorithms cut MRI scan times in half while actually improving the resolution.
Less patient anxiety. Sharper clinical reads.
The gap between clinical practice and tech innovation is closing fast, and the tools we use to diagnose are getting smarter every single day.
I'm documenting this entire shift
Follow me @HalaalNetwork to stay ahead of the MedTech curve. 🚀
The medical field is evolving faster than textbooks can print.
By 2030, AI won't replace healthcare professionals—but professionals who use AI will replace those who don't.
Here are 3 ways Artificial Intelligence is completely rewiring MedTech and diagnostics right now: 🧵👇
3. Zero-Click Triage 🚨
Medical queues used to be first-in, first-out. Now, smart diagnostic systems scan the queue in the background.
If the AI detects a critical anomaly (like a stroke or hemorrhage), it automatically bumps that patient to the top of the radiologist's list.