AI in Radiology and Radiomics 101: Resources and Roadmap
I have a lot of colleagues who want to learn AI to improve their radiology practice. They frequently ask me how to…
I have a lot of colleagues who want to learn AI to improve their radiology practice. They frequently ask me how to…
How I built a Telegram bot in a weekend that turns voice notes into formatted ultrasound reports, using Whisper, Claude, and a library of my own…
A pillar reference for radiology normal values across ultrasound, CT, and MRI — adult and pediatric — with quick-reference tables and clinical caveats.
Interpreting ultrasound images requires a deep understanding of anatomical structures and their sonographic appearance. The challenge many residents, and healthcare professionals face is…
Determining whether imaging measurements are normal or abnormal is fundamental to radiology, yet memorizing thousands of reference values across all specialties for both adults…
The TI-RADS Calculator is an essential tool for evaluating thyroid nodules using the Thyroid Imaging Reporting and Data System (TI-RADS). This standardized approach helps determine malignancy…
Understanding bone age is crucial for pediatric healthcare who need to assess a child’s skeletal development and growth patterns. A bone age atlas serves as…
NVIDIA MAISI can generate synthetic 3D CT images up to 512×512×768 voxels that are indistinguishable from real scans. Here’s how this breakthrough…
RSNA STR Chest CT Pulmonary Embolism Detection Dataset This dataset comprises 1,937,450 DICOM images (totaling 980.24 GB) drawn from 7,279 training studies,…