A5048170812- Digital Radiography and Breast Imaging
- Artificial Intelligence in Healthcare and Education
- Patient-Provider Communication in Healthcare
- Healthcare Systems and Technology
- Patient Satisfaction in Healthcare
- AI in cancer detection
- Radiation Dose and Imaging
- Frailty in Older Adults
- Artificial Intelligence in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- Hip and Femur Fractures
- Medical Imaging Techniques and Applications
- Radiology practices and education
- Emergency and Acute Care Studies
Health Data Research UK
2023
University of Edinburgh
2020-2023
Royal Alexandra Hospital
2023
University of Dundee
2023
Public Health Scotland
2023
The Queen's Medical Research Institute
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...
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...
ObjectivesThe Scottish Medical Imaging (SMI) service provides linkable, population based, “research-ready” real-world medical images for researchers to develop or validate AI algorithms within the National Safe Haven. The PICTURES research programme is developing novel methods enhance SMI offering through in cybersecurity and software/data/infrastructure engineering. ApproachAdditional technical governance controls were required enable safe access images. researcher isolated from rest of...