Results 101 to 110 of about 23,828 (247)
Background: Radiographic image is the first of choice for diagnosing complications involving elephants’ limbs. The extreme thickness of their limbs causes inaccurate image quality.
Chatchanok Udomtanakunchai +4 more
doaj
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu +6 more
wiley +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
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
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu +34 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
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
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
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

