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Introduction: In the world of diagnostic imaging, CT (Computed Tomography) scans are the rays of insight that have transformed patientcare. This blog explores the pivotal role that CT scans play in healthcare, providing a closer look at how they have reshaped the diagnostic landscape.
But at RSNA 2023, part of the focus was on AI advances that are changing how radiographers work today—for example, continuing to help us balance the goal of capturing the most information possible in an image without excessive radiation dose. AI tools that enable radiographers to separate noise from an image already exist today.
From patientcare to technology mastery, step into the shoes of these unsung heroes of healthcare. Chapter 1: Morning at the Center – Preparation and PatientCare: Start your day with the CT Technologist as they prepare for the first patients.
Chapter 3: Crafting Clarity – The Art and Science of CT Interpretation: Learn about the intricate art and science of CT interpretation, highlighting how radiologists meticulously analyze images to provide accurate diagnoses.
“Precision DL enhancesimage quality – enabling us to spot small lesions, including on images obtained with very low dose injections and short bedtimes, to potentially start treatment and monitoring early, which might result in improved patient outcomes. Eur J of Nucl Med Mol Imaging 49, 3740–3749 (2022).
Radiomics : Radiomics involves the extraction and analysis of vast amounts of data from medical images, enabling more personalized treatment approaches and predictive analytics. These innovations are reshaping the way healthcare is delivered, pushing the boundaries of medical imaging and diagnosis.
Chapter 3: The Diagnostic Blueprint – How CT Scans are Constructed: Learn about the construction process of CT scans, exploring how raw data is transformed into diagnostic images using mathematical algorithms and computational power.
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