Digital Radiography Repeat Rate and Associated Factors in Referral Hospitals, Sari, Iran 2017
Background and purpose: The radiographic imaging repeat rate (RR) in digital and conventional imaging systems is considered as a quality control indicator.
Gholamreza Fallah Mohammadi +2 more
doaj
Digital mammography, cancer screening: Factors important for image compression [PDF]
The use of digital mammography for breast cancer screening poses several novel problems such as development of digital sensors, computer assisted diagnosis (CAD) methods for image noise suppression, enhancement, and pattern recognition, compression ...
Blaine, G. James +7 more
core +1 more source
ARID1A, a SWI/SNF complex component, is frequently mutated in colorectal cancer (CRC). CRC with ARID1A/TP53 concurrent mutations shows marked sensitivity to WEE1 inhibition. ARID1A loss induces R‐loop‐mediated replication stress, impairs ATF3 transcription, and amplifies WEE1i‐induced DNA damage, suggesting a promising therapeutic vulnerability ...
Chi Zhang +17 more
wiley +1 more source
Occupational risks of radiology technicians in care for patients with multiple trauma
This study aimed to identify and give visibility to the main occupational hazards of radiology technicians, associated with the care of multiple trauma patient with a hospital department of conventional radiology.
Tiago Jorge Anderson +3 more
doaj
Targeting Endothelial KDM5A to Attenuate Aging and Ameliorate Age‐Associated Metabolic Abnormalities
This study identifies endothelial KDM5A as a key regulator of aging. KDM5A deficiency accelerates aging by enhancing H3K4me3‐mediated FABP4 expression, disrupting fatty acid metabolism, and promoting multi‐organ senescence. KDM5A restoration or FABP4 inhibition reverses these adverse effects and extends lifespan, positioning the KDM5A/FABP4 axis as a ...
Rifeng Gao +21 more
wiley +1 more source
A novel cassette holder for head and cervical spine radiography
Cassette holders are useful equipment assisting in diagnostic radiography of various body parts for suitable radiograms and reduction of unnecessary dose for the people in the working area.
Nukool Seekla +2 more
doaj
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Improving final diagnosis in paediatric posterior fossa tumours: Correlation and discrepancy between radiologic diagnosis, intraoperative surgeon's diagnosis, and histopathology. [PDF]
Khan MN +4 more
europepmc +1 more source
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol +17 more
wiley +1 more source
Evaluation of health professionals' perceptions on the use of artificial intelligence in radiology: a questionnaire-based study. [PDF]
Göde A, Açikgöz G, Erdem H, Dadak A.
europepmc +1 more source

