A5004692588- AI in cancer detection
- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Global Cancer Incidence and Screening
- Digital Radiography and Breast Imaging
- Breast Cancer Treatment Studies
- Advanced MRI Techniques and Applications
- COVID-19 and healthcare impacts
- Breast Lesions and Carcinomas
- Reconstructive Surgery and Microvascular Techniques
- Breast Implant and Reconstruction
- IgG4-Related and Inflammatory Diseases
- Glaucoma and retinal disorders
- Radiology practices and education
- Vestibular and auditory disorders
- Salivary Gland Tumors Diagnosis and Treatment
- Intestinal and Peritoneal Adhesions
- Patient Satisfaction in Healthcare
- Medical Imaging Techniques and Applications
- Digital Imaging in Medicine
- Oral and gingival health research
- Hearing, Cochlea, Tinnitus, Genetics
- Orthopedic Infections and Treatments
- Atomic and Subatomic Physics Research
- Infective Endocarditis Diagnosis and Management
NHS Grampian
2021-2024
Aberdeen Royal Infirmary
2010-2024
University of Aberdeen
2010-2024
National Health Service
2022-2023
Queen Mary University of London
2017
University of Manchester
2017
University of Cambridge
2017
National University Health System
2011-2013
National University of Singapore
2011-2013
Raigmore Hospital
2009-2010
Artificial intelligence (AI) tools may assist breast screening mammography programs, but limited evidence supports their generalizability to new settings. This retrospective study used a 3-year dataset (April 1, 2016-March 31, 2019) from U.K. regional program. The performance of commercially available AI algorithm was assessed with prespecified and site-specific decision threshold evaluate whether its transferable clinical site. consisted women (aged approximately 50-70 years) who attended...
Abstract Background The national breast screening programme in the United Kingdom is under pressure due to workforce shortages and having been paused during COVID-19 pandemic. Artificial intelligence has potential transform how healthcare delivered by improving care processes patient outcomes. Research on clinical organisational benefits of artificial still at an early stage, numerous concerns have raised around its implications, including safety, acceptance, accountability for decisions....
Purpose To assess whether individual reader performance with digital breast tomosynthesis (DBT) and two-dimensional (2D) mammography varies number of years experience or volume 2D mammograms read. Materials Methods After written informed consent was obtained, 8869 women (age range, 29–85 years; mean age, 56 years) were recruited into the TOMMY trial (A Comparison Tomosynthesis Digital Mammography in UK National Health Service Breast Screening Program), an ethically approved, multicenter,...
The aim of this retrospective study was to document the clinical findings and radiological features idiopathic orbital inflammation syndrome with retro-orbital involvement.We searched for ophthalmological patients who received imaging at Zhejiang Provincial People's Hospital between October 2003 April 2010. Seventy-three were diagnosed based on clinicoradiological features, pathological confirmation nonspecific inflammatory conditions in 47 patients. Eight (11%) had MRI or CT evidence...
Abstract Objectives This study surveyed the views of breast screening readers in UK on how to incorporate Artificial Intelligence (AI) technology into mammography. Methods An online questionnaire was circulated readers. Questions included their degree approval four AI implementation scenarios: as triage, a companion reader/reader aid, replacing one initial two readers, and all They were also asked rank five representation options (discrete opinion; mammographic scoring; percentage score with...
Purpose To validate the predictive power for determining breast cancer risk of an automated density measurement system with full-fi eld digital mammography (FFDM).Materials and methods Two hundred cancers 200 controls were imaged FFDM.Density was measured separately on MLO CC images using integral volumetric (Hologic, Quantra).For each cancer, contralateral mammogram used.Each matched to a control case by date birth, age at examination laterality used determination.Breast (percentage fi...
The primary objectives of the present study were to explore patients' expectancies, experiences and knowledge undergoing a cardiac catheterization procedure, their perceptions types sources information they received, as well evaluation this information. Seventeen patients (eight women, nine men) aged between 45-73 procedure (coronary angiogram or percutaneous transluminal coronary angioplasty (PTCA)) took part in semi-structured interviews. Thematic analysis showed that apprehension about...
Preoperative computerised tomographic angiography (CTA) in free flap breast reconstruction outlines the deep inferior epigastric perforator (DIEP). It can identify a single or twin system, measure vessel calibre, and iatrogenic/congenital anatomical variations. Evidence of effect previous abdominal incisions on this system remain inconclusive. We present case congenital absence identified from routine preoperative CTA. A 61-year-old female presented for immediate unilateral following...
<title>Abstract</title> We propose Field-Cycling Imaging (FCI), a new MRI technology accessing range of low and ultra-low magnetic fields (2mT to 0.2T), acquire longitudinal relaxation time over 4 orders magnitude field strength, covering the whole body. FCI obtains Nuclear Magnetic Relaxation Dispersion (NMRD) profiles tissues, which probes molecular dynamics at micro- nanometer scales. present prospective study including 10 female patients with breast cancers. Low clearly differentiate...
<title>Abstract</title> Background The national breast screening programme in the United Kingdom is under pressure due to workforce shortages and having been paused during COVID-19 pandemic. Artificial intelligence has potential transform how healthcare delivered by improving care processes patient outcomes. Research on clinical organisational benefits of artificial still at an early stage, numerous concerns have raised around its implications, including safety, acceptance, accountability...
Abstract Clinical care, workflow, and patient outcomes within National Health Service (NHS) radiology services will potentially benefit significantly in coming years with the integration of artificial intelligence (AI) into various specialty areas. This article summarizes an expert roundtable discussion, convened by British Institute Radiology, comprised experts from clinical, NHS management industry backgrounds. Facilitators barriers to both implementation AI platforms daily practice are...
Motivation: Field Cycling Imaging (FCI) has never been used in clinics and its capability medical diagnosis not yet demonstrated. Goal(s): Our goal was to demonstrate the capabilities of FCI as an imaging modality diagnose breast cancer by measuring T1 variations at low field from 2.3 200 mT. Approach: Ten patients were imaged with our recent prototype scanner images compared standard clinical histology. Results: provides relevant biomarkers molecular dynamics that detect tumours...
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...
A 26-year-old man, who was previously fit and well referred to the vascular surgical team with a painful right forearm 1 week after an aortic valve replacement for infective endocarditis (IE). He in-patient recovering from his cardiac surgery. on appropriate antibiotics IE. had no systemic signs but marked leucocytosis. Physical examination revealed warm swollen more discrete pulsatile swelling in mid-forearm measuring about 3×3 cm. In addition this, he sensory impairment hand along lateral...