A5083286893- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Gynecological conditions and treatments
- Peripheral Artery Disease Management
- Autopsy Techniques and Outcomes
- Respiratory and Cough-Related Research
- Pneumocystis jirovecii pneumonia detection and treatment
- Maternal and fetal healthcare
- Uterine Myomas and Treatments
- Trauma Management and Diagnosis
- MRI in cancer diagnosis
- Congenital Heart Disease Studies
- Drug-Induced Adverse Reactions
- Gastrointestinal disorders and treatments
- Neurofibromatosis and Schwannoma Cases
- Musculoskeletal Disorders and Rehabilitation
- Pediatric Urology and Nephrology Studies
- Urological Disorders and Treatments
- Diabetic Foot Ulcer Assessment and Management
- Tracheal and airway disorders
- Meningioma and schwannoma management
- Cardiac Arrest and Resuscitation
- Cardiac tumors and thrombi
- Airway Management and Intubation Techniques
- Kidney Stones and Urolithiasis Treatments
Imperial College Healthcare NHS Trust
2019-2024
Creative Commons
2023
Imperial College London
2023
University College London
2023
University College Hospital
2023
Guy's and St Thomas' NHS Foundation Trust
2023
King's College London
2023
St Thomas' Hospital
2023
Vienna General Hospital
2023
Medical University of Vienna
2023
Levetiracetam is widely regarded as a benign antiepileptic drug, compared to older medication. We report case of eosinophilic pneumonia due levetiracetam use in non-smoking woman aged 59 years with no previous respiratory history. Our patient presented exertional breathlessness and marked desaturation on exertion. She displayed ‘reverse bat-wing’ infiltrates her chest radiograph peripheral eosinophilia complete blood count. Her symptoms, radiology resolved completely cessation course...
Objectives Whole-body magnetic resonance imaging (WB-MRI) has been demonstrated to be efficient and cost-effective for cancer staging. The study aim was develop a machine learning (ML) algorithm improve radiologists' sensitivity specificity metastasis detection reduce reading times. Materials Methods A retrospective analysis of 438 prospectively collected WB-MRI scans from multicenter Streamline studies (February 2013–September 2016) undertaken. Disease sites were manually labeled using...
Background Whole-body magnetic resonance imaging is accurate, efficient and cost-effective for cancer staging. Machine learning may support radiologists reading whole-body imaging. Objectives To develop a machine-learning algorithm to detect normal organs lesions. compare diagnostic accuracy, time agreement of radiology reads metastases using with concurrent machine (whole-body + learning) against standard deviation). Design participants Retrospective analysis (1) prospective single-centre...
Background: Uterine artery embolisation (UAE) is an accepted treatment option for the majority of uterine fibroids. UAE in case submucosal fibroids more contentious given potential risk expulsion necrotic material. The aim this study was to determine suitability cases where exist and assess procedural outcomes complications. Method(s): Retrospective data collected UAEs conducted over a five-year period at single tertiary centre. Patients with pre- post-procedure MRI studies as well were...
<h3>Background</h3> Intussusception is a surgical emergency predominantly affecting infants whereby segment of bowel 'telescopes' on itself causing obstruction, ischaemia and peritonitis. Air reduction fluoroscopy guided procedure performed by Radiologists that reduces complications need for intervention. Radiology teams encounter intussusception relatively infrequently. We describe design delivery an immersive simulation course at Great Ormond Street Hospital (GOSH) multidisciplinary...