Announcing Gemini Gem for Computational Medical Physics — Your Specialized AI Research Assistant

Sun, 24 May 2026 17:00:00 -0400

We are excited to share the release of a specialized Gemini Gem designed specifically for Computational Medical Physicists. This AI agent acts as a knowledgeable co-pilot for research, computational modeling, dosimetry, and medical image computing.

What is the Computational Medical Physicist Gem?

The Computational Medical Physicist Gem is a custom-tuned assistant tailored to the complex, multidisciplinary domain of medical physics. It bridges the gap between physics modeling, coding, and clinical guidelines.

qradiomics — Radiomics Research CLI

Sun, 17 May 2026 20:31:21 -0400

License: MIT · Python: 3.11+ · Version: 0.9.0 · Repo: choilab-jefferson/qradiomics

Active successor for three earlier Choi Lab radiomics codebases. The C++/MATLAB pipelines in taznux/radiomics-tools, taznux/lung-image-analysis, and choilab-jefferson/LungCancerScreeningRadiomics are superseded by this repo. The feature extractors are now in qradiomics.feature.rtools (Python ITK port, numerically exact to the C++ binary). New work should land here.

Radiomics research CLI. qr does two things equally well:

Atomic tasks — convert DICOM, extract features, merge clinical, fit a model. Each is a single command, files in / files out.
Workflow assembly — generate, mutate, scaffold, and run multi-step pipelines from those atomic tasks. Default executor is Nextflow (per-patient parallel + cache + HPC); Prefect is the secondary executor; inline is the small-cohort fallback.

The canonical radiomics data flow has four stages — data → image → features → modeling — and one qr workflow plan call instantiates the whole chain:

DICOM on Qualia Radiomics

Announcing Gemini Gem for Computational Medical Physics — Your Specialized AI Research Assistant

What is the Computational Medical Physicist Gem?

qradiomics — Radiomics Research CLI