Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837191 | PMC |
| http://dx.doi.org/10.1016/j.jmir.2020.11.017 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data.
ACS Sens
September 2025
Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability.
View Article and Find Full Text PDFEffectiveness of the SHARE Approach for Improving Clinician Shared Decision Making Skills: A Trial in 12 Practices Located in Colorado, USA.
J Gen Intern Med
September 2025
University of Colorado School of Medicine, 1890 N Revere Ct, Third Floor, Mail Stop F443, Aurora, CO, 80045, USA.
Background: The SHARE Approach Model and training curriculum was developed by the Agency for Healthcare Research and Quality (AHRQ) to teach clinicians practicing in diverse settings how to engage in more effective Shared Decision Making (SDM).
Objective: To determine the effectiveness of the SHARE Approach at improving SDM in practices located across Colorado, USA.
Design: A longitudinal study with pre- and post-intervention observations.
In-line multi-wavelength non-destructive pharma quality monitoring with ultrabroadband carbon nanotubes photo-thermoelectric imaging scanners.
Light Sci Appl
September 2025
Department of Electrical, Electronic, and Communication Engineering, Faculty of Science and Engineering, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo, 112-8551, Japan.
While non-destructive in-line monitoring at manufacturing sites is essential for safe distribution cycles of pharmaceuticals, efforts are still insufficient to develop analytical systems for detailed dynamic visualisation of foreign substances and material composition in target pills. Although spectroscopies, expected towards pharma testing, have faced technical challenges in in-line setups for bulky equipment housing, this work demonstrates compact dynamic photo-monitoring systems by selectively extracting informative irradiation-wavelengths from comprehensive optical references of target pills. This work develops a non-destructive in-line dynamic inspection system for pharma agent pills with carbon nanotube (CNT) photo-thermoelectric imagers and the associated ultrabroadband sub-terahertz (THz)-infrared (IR) multi-wavelength monitoring.
View Article and Find Full Text PDFSubcutaneous Opioids: Under the Skin Irritation or New Standard of Care?
J Pain Symptom Manage
September 2025
Department of Palliative Medicine, OhioHealth Riverside Methodist Hospital, Columbus, Ohio (Beachy, Aung, Malone, Petros, Bertke); Department of Pharmacy, OhioHealth Riverside Methodist Hospital, Columbus, Ohio (Durell, Tressel).
Background: Opioids are widely used for pain management in hospitalized adults and can be administered through various routes. While oral (PO) and intravenous (IV) routes remain most common, the subcutaneous (SUB-Q) route is underutilized despite historical safety and supporting literature.
Objective: This quality improvement study implemented a revised standard of practice (SOP) for opioid administration, promoting the PO route when feasible and SUB-Q as the preferred parenteral route.
Relevancy Aware Cascaded Generative Adversarial Network for LSO-transmission Image Denoising in CT-less PET.
Biomed Phys Eng Express
September 2025
Siemens Healthineers AG, 810 Innovation Dr, Knoxville, Tennessee, 37932-2562, UNITED STATES.
Achieving high-quality PET imaging while minimizing scan time and patient radiation dose presents significant challenges, particularly in the absence of CT-based attenuation maps. Joint reconstruction algorithms, such as MLAA and MLACF, partially address these challenges but often result in noisy and less reliable images. Denoising these images is critical for enhancing diagnostic accuracy.
View Article and Find Full Text PDF