A5032818855- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- AI in cancer detection
- Artificial Intelligence in Healthcare and Education
- Medical Imaging Techniques and Applications
- Computational Physics and Python Applications
- Radiomics and Machine Learning in Medical Imaging
- Hip and Femur Fractures
- Digital Radiography and Breast Imaging
- Radiology practices and education
- Emergency and Acute Care Studies
- Radiation Dose and Imaging
- Artificial Intelligence in Healthcare
- Software System Performance and Reliability
- Frailty in Older Adults
University of Edinburgh
2019-2023
University of Dundee
2023
The Queen's Medical Research Institute
2023
Health Data Research UK
2023
Public Health Scotland
2023
in 94.9 million series across 57.3 studies
Abstract Aim To enable a world-leading research dataset of routinely collected clinical images linked to other data from the whole Scottish national population. This includes more than 30 million different radiological examinations population 5.4 and >2 PB since 2010. Methods Scotland has central archive used directly provide care patients. We have developed an architecture platform securely extract copy those data, link it or social datasets, remove personal protect privacy, make...
The use of High Performance Computing (HPC) to compliment urgent decision making in the event disasters is an important future potential supercomputers. However, usage modes involved are rather different from how HPC has been used traditionally. As such, there many obstacles that need be overcome, not least unbounded wait times batch system queues, make disaster response practical. In this paper, we present VESTEC project plans overcome these issues and develop a working prototype computing...
It is unclear what effect the pattern of health-care use before admission to hospital with COVID-19 (index admission) has on long-term outcomes for patients. We sought describe mortality and emergency readmission after discharge following index discharge), assess associations between these patterns such admissions.
Scotland has more than five million people within a single health system, using central Picture Archiving and Commication System (PACS) for radiography data. This enabled the project team to build research resource exceeding petabyte of imaging from 2010 onwards, with open-source tooling collate de-identify images on demand. Image metadata, treatment diagnostic records can be used define large cohorts patients then make data available remotely researchers in Trusted Research Environment...
ObjectivesTo research and develop tools methods for building cohorts of images linked to longitudinal healthcare records from real-world clinical the whole Scottish population. To provide this capability Medical Imaging service (provided by National Safe Haven) support AI projects. ApproachClinical images, especially when routinely collected health data, are extremely useful many types development. However, finding using data is challenging because: 1) Existing software used search designed...
Technological advances are creating exciting new opportunities that have the potential to move HPC well beyond traditional computational workloads. In this paper we focus on for be instrumental in responding disasters such as wildfires, hurricanes, extreme flooding, earthquakes, tsunamis, winter weather conditions, and accidents. Driven by VESTEC EU funded H2020 project, our research looks prove a tool not only capable of simulating once they happened, but also one which is able operate...