A5029564581- Clinical practice guidelines implementation
- Surgical Simulation and Training
- Anatomy and Medical Technology
- Chronic Disease Management Strategies
- Electronic Health Records Systems
- Health Systems, Economic Evaluations, Quality of Life
- Artificial Intelligence in Healthcare and Education
- Healthcare Systems and Technology
- Stress and Burnout Research
- Biomedical Text Mining and Ontologies
- Innovations in Medical Education
- Pharmaceutical Practices and Patient Outcomes
- Radiology practices and education
- Semantic Web and Ontologies
- Mobile Health and mHealth Applications
- Social Sciences and Policies
- Ear and Head Tumors
- Artificial Intelligence in Healthcare
- COVID-19 diagnosis using AI
- Ethics and bioethics in healthcare
- Advances in Oncology and Radiotherapy
- Health Sciences Research and Education
- Nasal Surgery and Airway Studies
- Advanced Radiotherapy Techniques
- Healthcare Systems and Public Health
Hospital Universitario Virgen del Rocío
2017-2024
Instituto de Biomedicina de Sevilla
2021-2024
Universidad de Sevilla
2021-2024
Tecnológico de Monterrey
2017-2020
To evaluate the impact of 3D printed models (3D models) on surgical planning in complex congenital heart disease (CHD).A prospective case-crossover study involving 10 international centres and 40 patients with CHD (median age 3 years, range 1 month-34 years) was conducted. Magnetic resonance imaging computed tomography were used to acquire segment cardiovascular anatomy. Models fabricated by fused deposition modelling polyurethane filament, dimensions compared medical images. Decisions after...
This is a 7-years single institution study on low-cost cardiac three-dimensional (3D) printing based the use of free open-source programs and affordable printers materials. The process 3D several steps (image acquisition, segmentation, mesh optimization, slicing, printing). necessary technology processes to set up an laboratory are hereby described in detail. Their impact surgical interventional planning, medical training, communication with patients relatives, patients' perception care, new...
To investigate the diagnostic performance of an Artificial Intelligence (AI) system for detection COVID-19 in chest radiographs (CXR), and compare results to those physicians working alone, or with AI support.
Due to an increase in life expectancy, the prevalence of chronic diseases is also on rise. Clinical practice guidelines (CPGs) provide recommendations for suitable interventions regarding different diseases, but a deficiency implementation these CPGs has been identified. The PITeS-TiiSS (Telemedicine and eHealth Innovation Platform: Information Communications Technology Research Challenges Health Services) tool, personalized ontology-based clinical decision support system (CDSS), aims reduce...
Background The evidence-based medicine (EBM) paradigm requires the development of health care professionals’ skills in efficient search evidence literature, and application formal rules to evaluate this evidence. Incorporating methodology into decision-making routine clinical practice will improve patients’ care, increase patient safety, optimize resources use. Objective aim study is develop a new tool (KNOWBED system) as decision support system scientific knowledge, enabling professionals...
Background Functional impairment is one of the most decisive prognostic factors in patients with complex chronic diseases. A more significant functional indicates that disease progressing, which requires implementing diagnostic and therapeutic actions stop exacerbation disease. Objective This study aimed to predict alterations clinical condition diseases by predicting Barthel Index (BI), assess their status using an artificial intelligence model data collected through internet things...
<sec> <title>BACKGROUND</title> Due to an increase in life expectancy, the prevalence of chronic diseases is on rise too. Clinical Practice Guidelines (CPGs) provide recommendations for suitable interventions regarding different diseases. But a deficit implementation these CPGs could be identified. The PITeS-TIiSS tool, personalized ontology-based Decision Support System (CDSS), aims reduce variability, prevent errors and consider interactions between recommendations, among other benefits....
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<sec> <title>BACKGROUND</title> The evidence-based medicine (EBM) paradigm requires the development of health care professionals’ skills in efficient search evidence literature, and application formal rules to evaluate this evidence. Incorporating methodology into decision-making routine clinical practice will improve patients’ care, increase patient safety, optimize resources use. </sec> <title>OBJECTIVE</title> aim study is develop a new tool (KNOWBED system) as decision support system...