Results 11 to 20 of about 8,588,542 (339)

Modern Diagnostic Imaging Technique Applications and Risk Factors in the Medical Field: A Review

open access: yesBioMed Research International, 2022
Medical imaging is the process of visual representation of different tissues and organs of the human body to monitor the normal and abnormal anatomy and physiology of the body. There are many medical imaging techniques used for this purpose such as X-ray,
S. Hussain   +8 more
semanticscholar   +1 more source

Characterizing and quantifying low-value diagnostic imaging internationally: a scoping review

open access: yesBMC Medical Imaging, 2022
Background Inappropriate and wasteful use of health care resources is a common problem, constituting 10–34% of health services spending in the western world. Even though diagnostic imaging is vital for identifying correct diagnoses and administrating the
E. Kjelle   +6 more
semanticscholar   +1 more source

Racial and Ethnic Differences in Emergency Department Diagnostic Imaging at US Children’s Hospitals, 2016-2019

open access: yesJAMA Network Open, 2021
Key Points Question Does the use of diagnostic imaging for children receiving care in US pediatric emergency departments (EDs) differ by race and ethnicity? Findings This multicenter cross-sectional study of more than 13 million pediatric ED visits to 44
Jennifer R Marin   +13 more
semanticscholar   +1 more source

Retrospective analysis of radiographic signs in feline pleural effusions to predict disease aetiology

open access: yesBMC Veterinary Research, 2022
Background The objectives of the study were to determine the prevalence of underlying conditions causing pleural effusion in cats and to calculate the positive predictive values, negative predictive values, sensitivity and specificity of radiographic ...
Lily Hung   +2 more
doaj   +1 more source

Tips for improving consistency of thyroid nodule interpretation with ACR TI-RADS

open access: yesJournal of Ultrasonography, 2022
Thyroid nodules are very common in the general population. Most are benign and even those that are malignant are typically slow-growing and do not require treatment.
Low Gavin   +8 more
doaj   +1 more source

Diagnostic accuracy and inter-reader reliability of the MRI Liver Imaging Reporting and Data System (version 2018) risk stratification and management system

open access: yesSouth African Journal of Radiology, 2022
Background: Hepatocellular carcinoma (HCC) can be diagnosed non-invasively, provided certain imaging criteria are met. However, the recent Liver Imaging Reporting and Data System (LI-RADS) version 2018 has not been widely validated.
Ranjit Singh   +6 more
doaj   +1 more source

Incidental Detection of a Rare Pediatric High-Grade Fibrosarcoma in a Post-traumatic Setting: The Conundrum of Intra-Abdominal Hematoma versus Neoplasia

open access: yesCase Reports in Radiology, 2023
Infantile fibrosarcoma (IF) is a rare malignant fibroblastic tumor that affects infants and young children, occurring most commonly in the extremities.
Kamand Khalaj   +6 more
doaj   +1 more source

Effect of Sweating on Electrode-Skin Contact Impedances and Artifacts in EEG Recordings With Various Screen-Printed Ag/Agcl Electrodes

open access: yesIEEE Access, 2020
In response to the growing clinico-economic need for comprehensive home-based sleep testing, we recently developed a self-applicable facial electrode set with screen-printed Ag/AgCl electrodes.
Laura Kalevo   +9 more
doaj   +1 more source

Clinician and patient beliefs about diagnostic imaging for low back pain: a systematic qualitative evidence synthesis

open access: yesBMJ Open, 2020
Objective Overuse of diagnostic imaging for patients with low back pain remains common. The underlying beliefs about diagnostic imaging that could drive overuse remain unclear.
Sweekriti Sharma   +8 more
semanticscholar   +1 more source

Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack [PDF]

open access: yesMedical Image Analysis 69 (2021): 101977, 2021
Deep learning models (with neural networks) have been widely used in challenging tasks such as computer-aided disease diagnosis based on medical images. Recent studies have shown deep diagnostic models may not be robust in the inference process and may pose severe security concerns in clinical practice.
arxiv   +1 more source

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