Rad GEM v3
Radiation Assist
For clinical decision support by qualified professionals. Does not replace clinical judgment.
imagingsimplified@gmail.com
Radiation Assist
For clinical decision support by qualified professionals. Does not replace clinical judgment.
imagingsimplified@gmail.com
Dr. Sharad Maheshwari
imagingsimplified@gmail.com
Rad GEM (Guidance. Evidence. Management.) is an advanced clinical decision support tool designed for radiologists and technologists. It uses an AI to generate evidence-based, patient-specific CT scan protocols with a focus on optimizing image quality while adhering to the ALARA (As Low As Reasonably Achievable) principle for radiation dose.
Dual Source (DS) refers to a CT scanner with two X-ray tubes. Its main advantage is speed, which is critical for freezing motion in cardiac imaging (CCTA). Dual Energy (DE) is an imaging *technique* that uses two different X-ray energy levels to differentiate materials (e.g., iodine vs. bone, uric acid vs. calcium). A DS scanner *can* be used to perform DECT, but for some scans like CCTA, it's used in single-energy mode just for speed. Some single-source scanners can also perform DECT using rapid kV-switching.
The AI's logic is grounded in evidence. It cross-references its recommendations against guidelines from major radiological societies like the American College of Radiology (ACR), RSNA, and ESR, as well as data from peer-reviewed, PubMed-indexed studies. This is why you see citation tags on the recommendations.
The CTDIvol and DLP values are **heuristic estimates**, not precise physics calculations. Their primary purpose is to provide a clinically relevant, ballpark figure to help you compare the relative dose impact of different protocol choices (e.g., a conventional vs. a Dual Energy scan). The actual dose will be calculated by the CT scanner itself.
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