Latest AI and machine learning research in radiology for healthcare professionals.
Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive interventions for post-traumatic stress disorder (PTSD). However, existing research lacks comprehensive methodologies and experimental designs. There are concerns in the field regarding the effectiveness and mechanistic interpretability of NF, prompting this study to conduct a systematic analysis of...
Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces radiation exposure to patients and healthcare providers. Reducing the tracer injection dose and eliminating the CT acquisition for attenuation correction can reduce the overall radiation dose, but often results in PET with high noise and bias. Thus, it is desirable to develop 3D methods to translate ...
Ultrasound localization microscopy (ULM) has revolutionized microvascular imaging by breaking the acoustic diffraction limit. However, different ULM w...
Segmentation is one of the most significant steps in image processing. Segmenting an image is a technique that makes it possible to separate a digital...
Over the past decade, several studies have explored the potential of magnetic resonance fingerprinting (MRF) for the quantification of brain hemodynam...
RATIONALE AND OBJECTIVES: Radiogenomics holds promise in identifying molecular alterations in nonsmall cell lung cancer (NSCLC) using imaging features...
Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions. Manual diagnosis is prone to human error, often ...
BACKGROUND: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic zone (EZ) is an effective treatment to control se...
Automatic radiology report generation can enhance diagnostic efficiency and accuracy. However, clean open-source imaging scan-report pairs are limited...
The aim of this study was to develop an open-source nnU-Net-based AI model for combined detection and segmentation of unruptured intracranial aneurysm...
BACKGROUND: Severe coronary artery calcification (CAC) remains a significant challenge in interventional cardiology, especially in elderly and comorbi...
OBJECTIVES: There is a scarcity of research regarding the effects of LAs adjuvant drugs in erector spinae plane block (ESPB), especially in scoliosis ...
The aim of the study was to determine the clinical and diagnostic value of IL-17A, IL-17F, and IL-23 in RA patients in the advanced stage of the disea...
BACKGROUND: Right ventricular (RV) myocardial perfusion has been touted as a primary mechanism to understand impairment in RV function in patients wit...
To assess the utility of dual-energy CT scanning (DECTs) with popliteal artery (PA) monitoring in dual low-dose (radiation and contrast) lower-extremi...
BACKGROUND AND OBJECTIVES: Spondylodiscitis (SD) is an infection of the intervertebral disk. In the nonseptic, MRI-positive patient without focal defi...
This study investigated the application of large language models (LLMs) with and without retrieval-augmented generation (RAG) in nuclear medicine, par...
PURPOSE: The XXXXX trial is a multi-institutional phase I/II study utilizing a combined PSMA PET/MRI approach to treat dominant intraprostatic lesions...
In this study, we propose a novel approach to enhancing transfer learning by optimizing data selection through deep learning techniques and correspond...
Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly chal...