A5099173710- Advanced X-ray and CT Imaging
- Radiology practices and education
- Medical Image Segmentation Techniques
- Image and Object Detection Techniques
- Lung Cancer Diagnosis and Treatment
- Seismology and Earthquake Studies
- Cardiac, Anesthesia and Surgical Outcomes
- Pulmonary Hypertension Research and Treatments
- Cardiac Imaging and Diagnostics
- COVID-19 diagnosis using AI
Moscow Institute of Physics and Technology
2024
Interpretation of chest computed tomography (CT) is time-consuming. Previous studies have measured the time-saving effect using a deep-learning-based aid (DLA) for CT interpretation. We evaluated joint impact multi-pathology DLA on time and accuracy radiologists' reading. 40 radiologists were randomly split into three experimental arms: control (10), who interpret without assistance; informed group briefed about pathologies, but performed readings it; (20), interpreted half with DLA,...
Understanding body part geometry is crucial for precise medical diagnostics. Curves effectively describe anatomical structures and are widely used in imaging applications related to cardiovascular, respiratory, skeletal diseases. Traditional curve detection methods often task-specific, relying heavily on domain-specific features, limiting their broader applicability. This paper introduces a novel approach detecting non-branching curves, which does not require prior knowledge of the object's...
Aim: To present the ARILIS study aimed at assessing use of artificial intelligence to analyze chest computed tomography (CT) data predict and prevent non-cancer mortality in patients with cancer. Material methods: This cohort will include cancer diagnosed Arkhangelsk region (AR) within 2019–2023 period. The COVID-19 pneumonia, general medical conditions, population Know Your Heart Study are planned be enrolled as control groups. detect quantify CT signs cardiovascular, pulmonary, bone...