A5012792914- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Machine Learning in Healthcare
- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Cardiovascular Function and Risk Factors
- AI in cancer detection
- Intraocular Surgery and Lenses
- Mechanical Circulatory Support Devices
- Glaucoma and retinal disorders
- Medical research and treatments
- Retinal and Macular Surgery
- Artificial Intelligence in Healthcare
- Lymphoma Diagnosis and Treatment
- Vascular Malformations Diagnosis and Treatment
- Tattoo and Body Piercing Complications
- Traditional Chinese Medicine Studies
- Conservation Techniques and Studies
- Dental Anxiety and Anesthesia Techniques
- Advanced X-ray and CT Imaging
- Facial Rejuvenation and Surgery Techniques
- Vascular Malformations and Hemangiomas
Vall d'Hebron Hospital Universitari
2017-2025
Singapore Eye Research Institute
2022-2024
Singapore National Eye Center
2022-2024
Addenbrooke's Hospital
2024
University of Cambridge
2024
Hebron University
2024
Allegheny Health Network
2024
SingHealth
2022
Instituto de Investigación Sanitaria del Principado de Asturias
2021
Universidad de Oviedo
2021
Deep learning–based clinical imaging analysis underlies diagnostic artificial intelligence (AI) models, which can match or even exceed the performance of experts, having potential to revolutionize practice. A wide variety automated machine learning (autoML) platforms lower technical barrier entry deep learning, extending AI capabilities clinicians with limited expertise, and autonomous foundation models such as multimodal large language models. Here, we provide a overview autoML descriptions...
Abstract Aim to describe prognostic cut-off values of RV size and function by cardiac magnetic resonance (CMR) in a multicentre cohort patients with severe TR. Methods results The study-enrolled at least TR (severe, massive torrential) assessed 2D echocardiography who underwent contemporary CMR study. primary endpoint was defined as combined all-cause mortality or hospitalization for heart failure events the secondary cardiovascular mortality. 314 were included this study (70 ± 11 years, 67%...
Objective Detection of subclinical cardiovascular disease (CVD) has significant impact on the management type 2 diabetes. We examined whether assessment diabetic retinopathy (DR) is useful for identifying patients at a higher risk having silent CVD. Research design and methods Prospective case–control study comprising 200 subjects without history clinical CVD 60 age-matched non-diabetic subjects. The presence was using two parameters: (1) calcium coronary score (CACs); (2) composite CACs...
Abstract Background COVID-19 survivors may develop long-term symptoms of fatigue, dyspnea, mental health issues, and functional limitations: a condition termed post-acute sequelae (PASC). Pulmonary rehabilitation (PR) is recommended treatment for PASC; however, there lack data regarding PR’s effect on multiple indices the factors that influence patient outcomes. The aim our study to evaluate impact pulmonary psychological parameters in patients diagnosed with Post-Acute Sequelae SARS-CoV-2...
In Brief Purpose: To investigate the incidence of postsurgical retinal displacement in patients treated with pars plana vitrectomy for rhegmatogenous detachment and to assess influence on macular function. Methods: Observational prospective study 20 consecutive cases who underwent 23-G gas (C3F8 or SF6) tamponade, prone resting. Three months after surgery, was evaluated by fundus autofluorescence. Macular function optical coherence tomography, multifocal electroretinogram, best-corrected...
Age-related macular degeneration (AMD) is one of the leading causes vision impairment globally and early detection crucial to prevent loss. However, screening AMD resource dependent demands experienced healthcare providers. Recently, deep learning (DL) systems have shown potential for effective various eye diseases from retinal fundus images, but development such robust requires a large amount datasets, which could be limited by prevalence disease privacy patient. As in case AMD, advanced...
Abstract Background Beyond symptoms, right ventricle (RV) dilatation and dysfunction are established criteria for intervention in patients with significant tricuspid regurgitation (TR); however defined thresholds to support lacking. As a result, the optimal timing remains controversial it is commonly undertaken at late stage. Purpose To describe prognostic cut-off values of RV size function by Cardiac Magnetic Resonance multicentre cohort least severe TR. Methods The study enrolled TR...
In acute ST-segment elevation myocardial infarction (STEMI) late gadolinium enhancement (LGE) may underestimate segmental functional recovery. We evaluated the predictive value of cardiac magnetic resonance (CMR) feature-tracking (FT) for recovery and whether it incremented LGE compared to low-dose dobutamine stress echocardiography (LDDSE) speckle-tracking (STE). Eighty patients underwent LDDSE CMR within 5–7 days after STEMI was defined as improvement in wall-motion at 6-months CMR....
Damage to the lateral geniculate body by diffuse axonal injury in brain trauma is uncommon. The authors present clinical case and vivo fibre tractography using diffusion tensor magnetic resonance imaging of this lesion a patient presenting with homonymous sectoranopia after traumatic head injury.
Wireless Body Sensor Networks (WBSN) are poised to become a key enabling technology of personal systems for pervasive healthcare. Recent results have however shown that the conventional approach their design, which consists in continuous wireless streaming sensed data central collector, is unsustainable terms network lifetime and autonomy. Furthermore, it was established communication responsible most energy consumption. To address inefficiency WBSNs, we advocate an advanced WBSN concept...