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Radiology

Radiology · July 13, 2026

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…

Radiology · April 26, 2026

I Built a Telegram Bot That Writes My Ultrasound Reports From Voice Notes

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…

Radiology · April 23, 2026

Radiology Normal Values Reference Guide: Ultrasound, CT & MRI

A pillar reference for radiology normal values across ultrasound, CT, and MRI — adult and pediatric — with quick-reference tables and clinical caveats.

Radiology · August 30, 2025

Ultrasound Anatomy Atlas – Images with Interactive Visuals

Interpreting ultrasound images requires a deep understanding of anatomical structures and their sonographic appearance. The challenge many residents, and healthcare professionals face is…

Radiology · August 29, 2025

Radiology Reference Values for Adults and Children

Determining whether imaging measurements are normal or abnormal is fundamental to radiology, yet memorizing thousands of reference values across all specialties for both adults…

Tools · August 28, 2025

Easy TI-RADS Calculator with Example Cases

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…

Tools · August 26, 2025

Easy Digital Bone Age Atlas for Children

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…

Artificial Intelligence · July 27, 2025

NVIDIA MAISI: Generate Synthetic CT Images with AI

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…

Artificial Intelligence · July 12, 2025

Radiology Datasets for AI Model Training

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,…

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Latest writing

  • Radiology AI in Radiology and Radiomics 101: Resources and Roadmap
  • Development How I Learned to Code Before It Was Cool
  • Development How to Vibe Code on iPhone with Claude Code
  • Radiology I Built a Telegram Bot That Writes My Ultrasound Reports From Voice Notes
  • Radiology Radiology Normal Values Reference Guide: Ultrasound, CT & MRI
Aslan, MD

Radiologist & Developer

© 2026 Aslan, MD. All rights reserved.

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