A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...

Neuromuscular disorders have seen a major shift toward non-invasive imaging to support diagnosis and longitudinal care. Historically, evaluation relied ...

A 42-year-old construction worker sits across from me in clinic, MRI in hand, convinced he needs surgery. His primary care ...

Learn how to compute and visualize electric field vectors using Python. This tutorial walks you through coding the physics behind electric fields and creating clear, interactive visualizations to make ...

Abstract: The integration of artificial intelligence (AI) in medical imaging has revolutionized diagnostic accuracy, particularly for X-ray and MRI scans. This paper presents a novel AI-driven ...

data/ ├── training/ # 137 bệnh nhân │ ├── BN2240/ │ │ ├── 14 PET WB AC HD.nrrd # File PET │ │ ├── 5 CTAC 3.75mm.nrrd # File CT │ │ └── Segmentation.seg.nrrd # File segmentation mask ...

This project serves as a complete portfolio demonstrating my journey from Python fundamentals to advanced data analytics techniques. It includes hands-on examples of data cleaning, exploration, ...

Abstract: Single Photon Emission Computed Tomography (SPECT) is a radiological imaging technique used for diagnosing and assessing neurological disorders, including Parkinson’s disease. However, ...

In a new pilot feasibility study, researchers from Mayo Clinic, the University of Washington School of Medicine, the University of California San Francisco, and Nextrast Inc. found that a new imaging ...