A5060241077- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- COVID-19 diagnosis using AI
- Infrared Target Detection Methodologies
- Artificial Intelligence in Healthcare and Education
- Digital Radiography and Breast Imaging
- Explainable Artificial Intelligence (XAI)
- Educational Games and Gamification
- Radiation Detection and Scintillator Technologies
- Machine Learning in Healthcare
- COVID-19 Clinical Research Studies
- Mobile Learning in Education
- Education and Learning Interventions
- Smart Systems and Machine Learning
- Online Learning and Analytics
- Radiology practices and education
- Education and Technology Integration
- Internet of Things and AI
- CCD and CMOS Imaging Sensors
- Edcuational Technology Systems
Sandwell & West Birmingham Hospitals NHS Trust
2013-2025
University of Leicester
2013-2024
Abstract In March 2020, the British Society of Thoracic Imaging (BSTI) introduced a reporting guidance for COVID-19 detection to streamline standardised and enhance agreement between radiologists. However, most current DL methods do not conform this guidance. This study introduces multi-class deep learning (DL) model identify BSTI categories within CT volumes, classified as ‘Classic’, ‘Probable’, ‘Indeterminate’, or ‘Non-COVID’. A total 56 pseudoanonymised images were collected from patients...
A handheld, high-resolution small field of view (SFOV) pinhole gamma camera has been characterised using a new set protocols adapted from standards previously developed for large (LFOV) systems. Parameters investigated include intrinsic and extrinsic spatial resolution, linearity, uniformity, sensitivity, count rate capability energy resolution. Camera characteristics are compared to some clinical LFOV cameras also other SFOV in development.
The field of radiology imaging has experienced a remarkable increase in using deep learning (DL) algorithms to support diagnostic and treatment decisions. This rise led the development Explainable AI (XAI) system improve transparency trust complex DL methods. However, XAI systems face challenges gaining acceptance within healthcare sector, mainly due technical hurdles utilizing these practice lack human-centered evaluation/validation. In this study, we focus on visual applied DL-enabled...
The development of compact low profile gamma-ray detectors has allowed the production small field view, hand held imaging devices for use at patient bedside and in operating theatres. combination an optical a gamma camera, co-aligned configuration, offers high spatial resolution multi-modal giving superimposed scintigraphic image. This innovative introduction hybrid new possibilities assisting surgeons localising site uptake procedures such as sentinel node detection. Recent improvements to...
In recent years, most of the research exhibits in field Education 4.0 Training Systems (ETS) and Industry (ITS) that has ability to learn behavior learners, interns, or trainees. Understanding feelings emotions learners toward learning is essential for creating a practical exciting experience. Patience-emotions detection sentiments analysis have emerged as an integral part understanding behaviors thus there need expand overall educational training process academics industries. This model...
Abstract The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the need for robust predictive models which can be readily deployed uncover heterogeneities in disease course, aid decision-making and prioritise treatment. We adapted an unsupervised data-driven model—SuStaIn, utilised short-term infectious like COVID-19, based on 11 commonly recorded clinical measures. used 1344 patients from National Chest Imaging Database (NCCID), hospitalised RT-PCR...
For intraoperative medical imaging, the development of small field view (SFOV) hybrid gamma cameras is an expanding area research. The performance characteristics a new innovation combining both and optical imaging in co-aligned configuration, Hybrid Gamma Camera (HGC) have been evaluated compared. In this study HGC was fitted with either 1500 μm thick columnar CsI:TI or pixelated GOS scintillators. scintillator has intrinsic spatial resolution 230 compared to 1090 for scintillator....
This diagnostic study assessed the accuracy of radiologists retrospectively, using deep learning and natural language processing chest algorithms implemented in Clinical Review version 3.2 for: pneumothorax, rib fractures digital X-ray radiographs (CXR); aortic aneurysm, pulmonary nodules, emphysema, embolism CT images.
A novel small field of view Hybrid Gamma Camera (HGC) has been developed to facilitate the process localizing radiopharmaceutical uptake during surgical procedures. The HGC is a scintillator-based detector consisting an electron multiplying charge-coupled device coupled columnar scintillator (CsI[Tl]). This enables fusion scintigraphic and optical images offering new possibilities for assisting clinicians surgeons in localising site number technology also offers bedside imaging organs...