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function of the DLPFC during addiction-related cues, researchers could assess the craving changes and their neural mechanisms. With the development of PET-MRI technology, we can integrate BOLD information and neurotransmitter receptor information to improve
decided depending on the result of the activation function Along with the development of information technology, the number of types of neural networks is constantly increasing. In the field of medical imaging, convolutional neural networks (CNNs) are
MRI scanner technology. The variation among patients, scanners (different manufacturers), scanner operators, higher spatial resolution, and disease incidence in diverse populations is a crucial aspect to be considered [ 19 , 25 ]. Conclusion This AI
syndromes in patients in whom the presence of obstructive CAD cannot be ruled out based on clinical assessment alone [ 6 ]. Despite recent developments in scanner technology the specificity of CCTA is limited and it is well recognized that CCTA tends to
applied two-dimensional (2D) method that can accurately estimate RV volumes. Technological advancements in transducer and software technologies allowed RV volume and EF measurement using 3D echocardiography (3DE) with good feasibility and close
not reach similar findings using PSIF-DWI sequences [ 11 ]. Our study was performed with a head-neck coil in 1.5 T MRI, the more available MRI technology. We found that in both 3D T1-weighted and T2-weighted sequences, secondary branches of the facial
styloid process and the head of the radius. The forearm-pronation was assessed using a small electronic level with a digital readout (Level Box, UJK technologies, USA) attached to the top of the panel. The electronic level was first calibrated for each
very fast rotation time and/or dual-source technology, CCTA may be less prone to coronary motion artifacts as compared to slower scanners. However, motion artefacts particularly of the RCA occur nevertheless, as evidenced by the present study, where a
Introduction With data-heavy technologies entering the clinical arena, a staggering volume of data is generated along the diagnostic and therapeutic pathways that patients follow. Taming this data tsunami poses a great challenge to physicians, and
research was financed by the Thematic Excellence Programme (2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University
