📣 Competition Launch Alert! RSNA Aneurysm Detection Challenge 🎯 Detect & locate brain aneurysms in imaging with AI. 💰 $50,000 Prize Pool ⏰ Entry Deadline: 10-7-2025 🙏 The American Society of Neuroradiology & SNIS Info ESNR Undetected brain aneurysms can be fatal. Help save lives via AI-assisted

🚀 ANNOUNCEMENT! We launch the hardest evaluation for AI: "Radiology's Last Exam" and pitch AI against radiologists (both trainees and board certified experts)! 😈 🚨 We see a lot of posts and studies lately claiming generalist AI models outperform radiologists! But do they

do not disregard these often subtle findings of inflammation/enthesitis on spine MRI. You might be the only hope for getting these patients properly treated for their spondy. Otherwise, might be many years until someone finally makes a dx.

📍 Dynamic Phalen Sign on Ultrasound In the longitudinal view of the carpal tunnel during maximal wrist flexion, the flexor retinaculum indents the median nerve, sometimes producing a clear “kinking” or angulation. ⚡ Why symptoms appear: •Focal mechanical compression → abrupt

Just a reminder that if you work in healthcare you cannot use Copilot to automate your backroom processes, you would essentially be sending your hospital or clinic's financial data (with or without patients' sensitive protected health information) to Microsoft. Like most things

Happy to share my experience at the Paris Olympics 2024 as an MSK radiologist, along with imaging of common injuries in Olympic and Paralympic athletes. This Sunday 31st August with the REFINDIA Cafe Roentgen webinar.

I have been testing Google's new image model nano banana and it is not working with medical images. It fails to annotate even simple structures on chest x-rays. The same with GPT5. This highlights a fundamental issue in AI for medical imaging and allow me to cut through the hype

3 projects for radiologists interested in learning AI to get started: The best way to learn something is by doing it. Rather than reading too much theory at the start, the best way is to start creating your healthcare app or training your model and then read the relevant

It cannot be called a superintelligence / AGI if it forgets about a medical case if you chat with it about multiple cases for half an hour in the same context window and jumbles things up. Or if you have to reset it's memory every short while and explain the patient's symptoms

Interesting how an open source CPU native ASR model would solve a lot of issues in healthcare like excessive workload on doctors and ever increasing waiting lists. Am currently building a medical transcription solution to help our overworked NHS doctors. A local, free, open