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Automated Methods for Tuberculosis Detection/Diagnosis: A Literature Review
Publication Type: Academic Journal
Source(s): BioMedInformatics, Vol 3, Iss 47, Pp 724-751 (2023)
Abstract: Tuberculosis (TB) is one of the leading infectious causes of death worldwide. The effective management and public health control of this disease depends on early detection and careful treatment monitoring. For many years, the microscopy-based analysis ...
Synthetic MRI Generation from CT Scans for Stroke Patients
Publication Type: Academic Journal
Source(s): BioMedInformatics, Vol 3, Iss 50, Pp 791-816 (2023)
Abstract: CT scans are currently the most common imaging modality used for suspected stroke patients due to their short acquisition time and wide availability. However, MRI offers superior tissue contrast and image quality. In this study, eight deep learning mod...
KidneyGPS: a user-friendly web application to help prioritize kidney function genes and variants based on evidence from genome-wide association studies
Publication Type: Academic Journal
Source(s): BMC Bioinformatics, Vol 24, Iss 1, Pp 1-12 (2023)
Abstract: Abstract Background Genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with kidney function. By combining these findings with post-GWAS information (e.g., statistical fine-mapping to identify independent associat...
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis
Publication Type: Academic Journal
Source(s): BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract: Abstract Background Body composition (BC) is an important factor in determining the risk of type 2-diabetes and cardiovascular disease. Computed tomography (CT) is a useful imaging technique for studying BC, however manual segmentation of CT images is ...
A scoping review of emotions and related constructs in simulation-based education research articles
Publication Type: Academic Journal
Source(s): Advances in Simulation, Vol 8, Iss 1, Pp 1-21 (2023)
Abstract: Abstract Background While acknowledgement of emotions’ importance in simulation-based education is emerging, there are concerns regarding how education researchers understand the concept of emotions for them to deliberately incorporate emotionally char...
Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya—the national data warehouse project
Publication Type: Academic Journal
Source(s): BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract: Abstract Background Aggregate electronic data repositories and population-level cross-sectional surveys play a critical role in HIV programme monitoring and surveillance for data-driven decision-making. However, these data sources have inherent limitat...
Flexible parametric methods for calculating life expectancy in small populations
Publication Type: Academic Journal
Source(s): Population Health Metrics, Vol 21, Iss 1, Pp 1-10 (2023)
Abstract: Abstract Background Life expectancy is a simple measure of assessing health differences between two or more populations but current life expectancy calculations are not reliable for small populations. A potential solution to this is to borrow strength ...
The fraction of life years lost after diagnosis (FLYLAD): a person-centred measure of cancer burden
Publication Type: Academic Journal
Source(s): Population Health Metrics, Vol 21, Iss 1, Pp 1-14 (2023)
Abstract: Abstract Background Cancer control initiatives are informed by quantifying the capacity to reduce cancer burden through effective interventions. Burden measures using health administrative data are a sustainable way to support monitoring and evaluating...
Prevalence of unmet health care need in older adults in 83 countries: measuring progressing towards universal health coverage in the context of global population ageing
Publication Type: Academic Journal
Source(s): Population Health Metrics, Vol 21, Iss 1, Pp 1-16 (2023)
Abstract: Abstract Current measures for monitoring progress towards universal health coverage (UHC) do not adequately account for populations that do not have the same level of access to quality care services and/or financial protection to cover health expenses ...
Refinement Co‐supervision network for real‐time semantic segmentation
Publication Type: Academic Journal
Source(s): IET Computer Vision, Vol 17, Iss 6, Pp 652-662 (2023)
Abstract: Abstract Semantic segmentation is a fundamental technology for autonomous driving. It has a high demand for inference speed and accuracy. However, a good trade‐off between accuracy and latency is yet not present in existing semantic segmentation approa...