Radiology

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Nurse-led home-based detection of cardiac dysfunction by ultrasound: results of the CUMIN pilot study.

AIMS: Access to echocardiography is a significant barrier to heart failure (HF) care in many low- an...

Deep learning MRI-only synthetic-CT generation for pelvis, brain and head and neck cancers.

BACKGROUND AND PURPOSE: MRI-only planning relies on dosimetrically accurate synthetic-CT (sCT) gener...

Correcting synthetic MRI contrast-weighted images using deep learning.

Synthetic magnetic resonance imaging (MRI) offers a scanning paradigm where a fast multi-contrast se...

A feasibility study of robot-assisted percutaneous reduction and fixation technique for treating posterolateral depression tibial plateau fractures.

Posterolateral (PL)-depression fractures of the tibial plateau are difficult to manage. The aim of t...

Deep learning for fast super-resolution ultrasound microvessel imaging.

. Ultrasound localization microscopy (ULM) enables microvascular reconstruction by localizing microb...

Artificial Intelligence in BI-RADS Categorization of Breast Lesions on Ultrasound: Can We Omit Excessive Follow-ups and Biopsies?

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) systems have been increasingly applied to bre...

The role of an artificial intelligence software in clinical senology: a mammography multi-reader study.

PURPOSE: To evaluate the diagnostic role of a dedicated AI software in detecting anomalous breast fi...

Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac Care.

In addition to the traditional clinical risk factors, an increasing amount of imaging biomarkers hav...

MRI advances in the imaging diagnosis of tuberculous meningitis: opportunities and innovations.

Tuberculous meningitis (TBM) is not only one of the most fatal forms of tuberculosis, but also a maj...

Interactive Multi-Stage Robotic Positioner for Intra-Operative MRI-Guided Stereotactic Neurosurgery.

Magnetic resonance imaging (MRI) demonstrates clear advantages over other imaging modalities in neur...

Essential Point-of-Care Ultrasound Insights for 2024.

To assess point-of-care ultrasound (POCUS) in 2024, we should start by defining its expanded scope a...

Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence.

Radiology is on the verge of a technological revolution driven by artificial intelligence (including...

Generalizable synthetic MRI with physics-informed convolutional networks.

BACKGROUND: Magnetic resonance imaging (MRI) provides state-of-the-art image quality for neuroimagin...

A generic scope actuation system for flexible endoscopes.

BACKGROUND: A scope actuation system assists a surgeon in steering a scope for navigating an operati...

Imaging in interventional oncology, the better you see, the better you treat.

Imaging and image processing is the fundamental pillar of interventional oncology in which diagnosti...

The automatic diagnosis artificial intelligence system for preoperative magnetic resonance imaging of uterine sarcoma.

OBJECTIVE: Magnetic resonance imaging (MRI) is efficient for the diagnosis of preoperative uterine s...

Artificial intelligence-aided diagnostic imaging: A state-of-the-art technique in precancerous screening.

BACKGROUND AND AIM: Chromoendoscopy with the use of indigo carmine (IC) dye is a crucial endoscopic ...

Ultrasound-guided sciatic nerve block in Wistar rat cadavers: Relevant anatomy and injection distribution.

OBJECTIVE: To investigate the feasibility of an ultrasound-guided sciatic nerve block by describing ...

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