Medical data in image format continues to increase in both size and complexity. We have integrated advanced techniques in visualization, networked computing, and interface design to improve methods for accessing medical data comprising high-resolution images for reconstructions into three-dimensional volumetric representations. We present two approaches to handle the range of low to high-end client platforms, support visualization functionality, and provide the ability to manipulate very large data over heterogeneous computing and networking environments. We present examples of its use for clinical, research, and educational purposes and discuss future extensions.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Unified Mobile App for Streamlining Verbal Autopsy and Cause of Death Assignment in India: Design and Development Study.
JMIR Form Res
January 2025
ICMR-National Institute for Research in Digital Health and Data Science, Ansari Nagar, New Delhi, 110029, India, 91 7840870009.
Background: Verbal autopsy (VA) has been a crucial tool in ascertaining population-level cause of death (COD) estimates, specifically in countries where medical certification of COD is relatively limited. The World Health Organization has released an updated instrument (Verbal Autopsy Instrument 2022) that supports electronic data collection methods along with analytical software for assigning COD. This questionnaire encompasses the primary signs and symptoms associated with prevalent diseases across all age groups.
View Article and Find Full Text PDFThe prognostic impact of arterial spin labeling hyperperfusion in acute ischemic stroke: a systematic review and meta-analysis.
Acta Radiol
January 2025
Department of Radiology & Institute of Rehabilitation and Development of Brain Function, Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, Sichuan, PR China.
Hyperperfusion is related to vessel recanalization, tissue reperfusion, and collateral circulation. To determine the prognostic impact of hyperperfusion after an acute ischemic stroke (AIS) identified by arterial spin labeling (ASL) cerebral blood flow. Studies published in PubMed, Embase, and Cochrane Library databases were searched.
View Article and Find Full Text PDFMulti-omics analysis and experimental verification reveal testicular fatty acid metabolism disorder in non-obstructive azoospermia.
Zool Res
January 2025
Department of Reproductive Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210000, China.
Increasing evidence implicates disruptions in testicular fatty acid metabolism as a contributing factor in non-obstructive azoospermia (NOA), a severe form of male infertility. However, the precise mechanisms linking fatty acid metabolism to NOA pathogenesis have not yet been fully elucidated. Multi-omics analyses, including microarray analysis, single-cell RNA sequencing (scRNA-seq), and metabolomics, were utilized to investigate disruptions in fatty acid metabolism associated with NOA using data from public databases.
View Article and Find Full Text PDFEvaluation of a Machine Learning-Guided Strategy for Elevated Lipoprotein(a) Screening in Health Systems.
Circ Genom Precis Med
January 2025
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (A.A., L.S.D., E.K.O., R.K.).
Background: While universal screening for Lp(a; lipoprotein[a]) is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a; ARISE), a validated machine learning tool, to health system electronic health records to increase the yield of Lp(a) testing.
View Article and Find Full Text PDFClassifying Race in Out-of-Hospital Cardiac Arrest and Potential Disparities: A Retrospective Cohort Study.
Circ Cardiovasc Qual Outcomes
January 2025
Division of Emergency Medical Services, Public Health - Seattle & King County, WA (J.S., J.L., M.P., C.D., J.B., S.G., P.K., T.R.).
Background: Although racial disparities have been described in resuscitation, little is known about potential bias in race classification of out-of-hospital cardiac arrest (OHCA).
Methods: We conducted a retrospective cohort study of adults treated by emergency medical services (EMS) for nontraumatic OHCA in King County, WA between January 1, 2018, and December 31, 2021. We assessed agreement using κ and evaluated patterns of missingness between EMS-assessed race versus comprehensive race classification from hospital and death records.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!