Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVES: To evaluate the performance of artificial intelligence (AI) software for automatic thora...
Extraction of the impacted mandibular third molar (IMTM) is common in oral surgery, but its postoper...
SIGNIFICANCE: Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated great potenti...
At ultrahigh field strengths images of the body are hampered by B -field inhomogeneities. These pres...
Intraoperative identification of malignancies using indocyanine green (ICG)-based fluorescence imagi...
BACKGROUND: With the introduction of ChatGPT in late November 2022, large language models based on a...
In this study, a combined convolutional neural network for the diagnosis of three benign skin tumors...
With the advent of Artificial Intelligence (AI) and even more so recently in the field of Machine Le...
Adult-type diffuse glioma (grade 4) has infiltrating nature, and therefore local progression is like...
Quantitative biomarkers of facial skin ageing were studied from one hundred healthy Caucasian female...
Magnetoencephalography (MEG) is a powerful non-invasive diagnostic modality for presurgical epilepsy...
An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is the a...
PURPOSE: To achieve effective robot-assisted laparoscopic prostatectomy, the integration of transrec...
PURPOSE: To explore Norwegian breast radiologists' expectations of adding artificial intelligence (A...
OBJECTIVES: Non-contrast computed tomography of the brain (NCCTB) is commonly used to detect intracr...
Over the past few years, developments in artificial intelligence (AI), especially in radiomics and d...
OBJECTIVES: To develop diagnostic algorithms of multisequence prostate magnetic resonance imaging fo...
OBJECTIVE: To develop and independently externally validate robust prognostic imaging biomarkers dis...
Imaging instruments, such as conventional X‑ray, ultrasound and magnetic resonance imaging (MRI) are...
In recent years, there has been a growing demand for miniaturization, low power consumption, quick t...
Machine-learning prediction studies have shown potential to inform treatment stratification, but rec...