Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: The relationship between the biological pathways related to deep learning radiomics (DLR...
INTRODUCTION AND OBJECTIVES: Lung cancer is the second type of cancer with the second highest incide...
PURPOSE: Further acceleration of DWI in diagnostic radiology is desired but challenging mainly due t...
BACKGROUND AND PURPOSE: Higher magnetic field strength introduces stronger magnetic field inhomogene...
AIM: Hypertension and diabetes mellitus (DM) are major causes of morbidity and mortality, with growi...
PURPOSE: This study aimed to construct a predictive model integrating deep learning-derived radiomic...
BACKGROUND: Accurate preoperative identification of ovarian tumour subtypes is imperative for patien...
BACKGROUND: To investigate the potential of combining compressed sensing (CS) and artificial intelli...
OBJECTIVES: Parotid gland tumors (PGTs) often occur as incidental findings on magnetic resonance ima...
BACKGROUND: Orbital tumors present a diagnostic challenge due to their varied locations and histopat...
This study aimed to compare the impact of the partially flipped physiology classroom (PFC) and the t...
The evolution of Positron Emission Tomography (PET), culminating in the Total-Body PET (TB-PET) syst...
BACKGROUND: In medical imaging courses, due to the complexity of anatomical relationships, limited n...
OBJECTIVE: To explore the value of six machine learning models based on PET/CT radiomics combined wi...
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical appli...
Large language models (LLMs) hold immense potential to revolutionize radiology. However, their integ...
The integration of AI in radiology raises significant legal questions about responsibility for error...
PURPOSE: The standard of care for prostate cancer (PCa) diagnosis is the histopathological analysis ...
Histological hematoxylin and eosin-stained (H&E) tissue sections are used as the gold standard for p...
Deep Learning models such as Convolutional Neural Networks (CNNs) are very effective at extracting c...
Major Depressive Disorder (MDD) is a widespread psychiatric condition that affects a significant por...