
Enrique J Gómez AguileraUniversidad Politécnica de Madrid | UPM · E.T.S.I. de Telecomunicación
Enrique J Gómez Aguilera
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Publications (226)
Cardiotoxicity refers to the damage induced by antineoplastic treatments, leading to various cardiovascular conditions. [18F]FDG PET radiomics analysis could provide relevant information on early onset changes occurring in cardiac metabolism of chemotherapy-induced cardiotoxicity. Patients’ sociodemographic data, cardiovascular risk factors, labora...
BACKGROUND
Mobile Health (mHealth) represents a promising instrument for optimizing symptom management and important lifestyle strategies that enhance self-care and the quality of healthcare for cancer patients. The ALIBIRD mHealth is a digital health solution specifically designed for the telemonitoring of oncology patients, fostering patient empo...
Non-Hodgkin lymphoma is a heterogeneous group of cancers that triggers bone marrow infiltration in 20–40% of cases. Bone marrow biopsy in combination with a visual assessment of [18F]FDG PET/CT images is used to assess the marrow status. Despite the potential of both techniques, they still have limitations due to the subjectivity of visual assessme...
Objectives: Innovative precision dietary procedures are required to promote healthy aging. This study aimed to
evaluate the effects of a personalised strategy based on the inclusion of individualised foods and digital tools on
overall health status and quality of life within a follow-up of 3 months in older adults with overweight or obesity.
Method...
Bone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct clinical contexts which can result in morphological alterations in bone structure. The visual assessment of these changes through anatomical images is considered suboptimal, emphasizing the importance of precise skeletal segmentation as a valuable aid f...
Although there have been crucial advancements in the diagnostic and treatment approaches, the mortality rate of infective endocarditis is still an ongoing challenge in clinical practice. [18F]FDG PET/CT imaging has recently proven its potential role in the early identification of prosthetic valve endocarditis (PVE). Due to radiomics’ rising applica...
Evidence is emerging about the value of textural features as powerful outcome predictors in cancer lesions. The aim of this study is to evaluate the potential of [18F]FDG PET/CT conventional and textural parameters as survival predictors in patients with stage III and IV oropharyngeal cancer. The database includes 39 patients. Segmentation of the p...
Training with real patients is a critical aspect of the learning and growth of doctors in training. However, this essential step in the educational process for clinicians can potentially compromise patient safety, as they may not be adequately prepared to handle real-life situations independently. Clinical simulators help to solve this problem by p...
The combination of visual assessment of whole body [18F]FDG PET images and evaluation of bone marrow samples by Multiparameter Flow Cytometry (MFC) or Next-Generation Sequencing (NGS) is currently the most common clinical practice for the detection of Measurable Residual Disease (MRD) in Multiple Myeloma (MM) patients. In this study, radiomic featu...
Objective:
To study the correlation between a static PET image of the first-minute-frame (FMF) acquired with 18F-labeled amyloid-binding radiotracers and brain [18F]FDG PET in patients with primary progressive aphasia (PPA).
Material and methods:
The study cohort includes 17 patients diagnosed with PPA with the following distribution: 9 nonfluen...
Introduction
Remote learning has been increasingly required after the COVID-19 pandemic. In this regard, an integrative Learning Management System (LMS) that connects external assets for technical and nontechnical skills training in minimally invasive surgery has been implemented. Before its wider use as a training tool, a comparison of usability p...
Neurodegenerative parkinsonisms affect mainly cognitive and motor functions and are syndromes of overlapping symptoms and clinical manifestations such as tremor, rigidness, and bradykinesia. These include idiopathic Parkinson’s disease (PD) and the atypical parkinsonisms, namely progressive supranuclear palsy (PSP), corticobasal degeneration (CBD),...
Automatic surgical workflow analysis (SWA) plays an important role in the modelling of surgical processes. Current automatic approaches for SWA use videos (with accuracies varying from 0.8 and 0.9), but they do not incorporate speech (inherently linked to the ongoing cognitive process). The approach followed in this study uses both video and speech...
Purpose
Due to the high morbidity and mortality of infective endocarditis (IE), medical imaging techniques are combined to ensure a correct diagnosis. [ ¹⁸ F]FDG PET/CT has demonstrated the ability to improve diagnostic accuracy compared with the conventional modified Duke criteria in patients with suspected IE, especially those with prosthetic val...
Objective
The aim of the study was to assess the impact of clinical and metabolic parameters derived from ¹⁸ F-FDG PET/CT (positron emission tomography–computed tomography) in patients with locally advanced cervical cancer (LACC) on prognosis.
Methods
Patients with LACC of stage IB2-IVA treated by primary radiochemotherapy followed by brachytherap...
Background and Objectives
The last few years have been crucial in defining the most appropriate way to quantitatively assess [¹⁸F]FDG PET images in Multiple Myeloma (MM) patients to detect persistent tumor burden. The visual evaluation of images complements the assessment of Measurable Residual Disease (MRD) in bone marrow samples by multiparameter...
Modern surgical education is focused on making use of the available technologies in order to train and assess surgical skill acquisition. Innovative technologies for the automatic, objective assessment of nontechnical skills are currently under research. The main aim of this study is to determine whether personal resourcefulness can be assessed by...
Age-related cognitive impairment (ARCI) has a profound impact on individuals, families, health care systems, and societies at large. Evidence suggests that ARCI is the consequence of underlying brain pathology. Therefore, efforts to minimize the impact of ARCI and thus closing the gap between health span and life span, which has widened in recent y...
Purpose:
Chemotherapy-induced cardiotoxicity is one of the main complications during and after cancer treatment. While echocardiography is the most used technique in clinical practice to evaluate left ventricular (LV) dysfunction, a multimodal approach is preferred for the early detection of anthracycline-induced cardiotoxicity. In this paper, an...
Brain Health is defined as the development and preservation of optimal brain integrity and neural network functioning for a given age. Recent studies have related healthy habits with better maintenance of brain health across the lifespan. As a part of the Barcelona Brain Health Initiative (BBHI), a mHealth platform has been developed with the purpo...
Dynamic early-phase PET images acquired with radiotracers binding to fibrillar amyloid-beta (Aβ) have shown to correlate with [18F]fluorodeoxyglucose (FDG) PET images and provide perfusion-like information. Perfusion information of static PET scans acquired during the first minute after radiotracer injection (FMF, first-minute-frame) is compared to...
In this article, we described a new mobile-Health (mHealth) supported clinical pathway of care for people living with medically stable HIV in terms of platform acceptability, usability and technical feasibility. The EmERGE mHealth platform was codesigned with clinicians and the community, developed using Scrum agile methodology, integrated with hos...
Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is a potential bottleneck in early rapid detection and quantification of sarcopenia. A prototype deep learning neural network was trained on a multi-center collection of 3413 abdominal cancer surgery subjects to automatically segment truncal muscle, su...
Amyloid positron emission tomography (PET) brain imaging with radiotracers like [18F]florbetapir (FBP) or [18F]flutemetamol (FMM) is frequently used for the diagnosis of Alzheimer’s disease. Quantitative analysis is usually performed with standardized uptake value ratios (SUVR), which are calculated by normalizing to a reference region. However, th...
Surgeons’ procedural skills and intraoperative decision making are key elements of clinical practice. However, the objective assessment of these skills remains a challenge to this day. Surgical workflow analysis (SWA) is emerging as a powerful tool to solve this issue in surgical educational environments in real time. Typically, SWA makes use of vi...
Chronic thromboembolic pulmonary hypertension (CTEPH) is confirmed by visual analysis of single-photon emission computer tomography (SPECT) ventilation and perfusion (V/Q) images. Defects in the perfusion image discordant with the ventilation image indicate obstructed segments and the positive diagnosis of CTEPH. A quantitative metric and classific...
Introduction: Effectiveness of e-learning diminishes without the support of a pedagogical model to guide its use. In minimally invasive surgery (MIS), this has been reported as a limitation when technology is used to deliver contents without a sound pedagogical background.
Material and methods: We describe how a generic pedagogical model, the 3D pe...
MIS-SIM is a virtual reality (VR) environment designed and developed for the creation of virtual scenarios that can be used to train and acquire basic and advance laparoscopic skills. The environment is composed by a task editor where a content creator design and develop tasks for the simulator to play. Once they are completed, objective metrics ar...
VR P300-based BCI has proven to be a suitable method for training social attention skills in youngsters with autism spectrum disorder (ASD). In this study, we present a method that could be used in such an application to identify which object the user is paying attention to in a virtual environment by means of EEG recordings only. Temporal and time...
Although the total number of ureteroscopy interventions during the past years has significantly increased, current flexible ureteroscopy procedures still present some limitations to urologic surgeons. However, nowadays different robotic systems have been developed in order to reduce those limitations. Flexible ureteroscopy robots provide a technolo...
Background:
The automation of glucose control has been an important goal of diabetes treatment for many decades. The first artificial pancreas experiences were in-hospital, closely supervised, small-scale, and short-term studies that demonstrated their superiority over continuous subcutaneous insulin infusion therapy. At present, long-term outpati...
Depression is a mental disorder which can become a serious health problem. This research line is focused on creating a depression detection service from text analysis. Sentiment Analysis and Natural Language Processing methods will be used to develop this service. The service will classify text in positive or negative depending on the emotions infe...
Healthy daily activities have a positive influence on many aspects of our lives. Habits have a deep impact on our health, they help to prevent the appearance of chronic and neurodegenerative diseases and will provide a healthy and active aging. This research work is aiming to analyze the need of new approaches on monitoring daily life activities, i...
The EmERGE platform is a novel mHealth solution that supports a new paradigm for HIV care. Following a rigorous co-design approach, it provides users with a system that can link securely into the health records of an individual, select the data required, and once reviewed by a clinician send the data and clinical opinion confidentially to the indiv...
Positron emission tomography (PET) with amyloid binding tracers and 18F-fluordesoxyglucose (FDG) is used in the diagnosis of Alzheimer’s disease and other dementias. The dual-phase amyloid PET protocol acquires an early perfusion image immediately after the radiotracer injection that resembles FDG images. We studied the correlation of early phase 1...
This research presents a novel low-cost pedagogical environment oriented to ease the use experiential learning methods for training on image-guided robotic surgery technologies. The environment proposes a simplified surgical simulation use case: the movement of insertion and extraction of a needle, similar to an image-guided biopsy situation. The t...
Background:
Motion analysis parameters (MAPs) have been extensively validated for assessment of minimally invasive surgical skills. However, there are discrepancies on how specific MAPs, tasks, and skills match with each other, reflecting that motion analysis cannot be generalized independently of the learning outcomes of a task. Additionally, the...
As society ages, healthcare systems are preparing for an increasing prevalence of frail, co-morbid and older community-dwellers at risk of adverse outcomes including falls, malnutrition, hospitalisation, institutionalisation and death. Early intervention is desirable and pre-frailty, before onset of functional decline, may represent a suitable tran...
Background:
The increasing number of patients with acquired brain injury and the current subjectivity of the conventional upper extremity (UE) assessment tests require new objective assessment techniques.
Objective:
This research proposes a novel objective motor assessment (OMA) methodology based on the Fugl-Meyer assessment (FMA). The goals are...
Background:
In type 1 diabetes mellitus (T1DM), patients play an active role in their own care and need to have the knowledge to adapt decisions to their daily living conditions. Artificial intelligence applications can help people with type 1 diabetes in decision making and allow them to react at time scales shorter than the scheduled face-to-fac...
Background:
Telemedicine is becoming increasingly important in Ecuador, especially in areas such as rural primary healthcare and medical education. Rural telemedicine programs in the country need to be strengthened by means of a technological platform adapted to local surroundings and offering advantages such as access to specialized care, continu...
Family care is the most accepted and preferred care setting for both long-term care patients and their relatives. However, many of these caregivers are elderly people themselves, and often reach the point where they also need support. Care poses a substantial burden, so often it is not the health of the patient but the overload of stress for the ca...
Introduction:
E-learning web environments, including the new TELMA platform, are increasingly being used to provide cognitive training in minimally invasive surgery (MIS) to surgeons. A complete validation of this MIS e-learning platform has been performed to determine whether it complies with the three web quality dimensions: usability, content a...
Eye tracking is a powerful tool for an objective assessment of surgeons' visual search strategy. This technology allows for recording the eye movements and point of gaze fixation. Some studies have assessed differences in eye metrics between expert and novice surgeons in basic operations of minimally invasive surgery [1]. However, advanced laparosc...
In the face of demographic ageing European healthcare providers and policy makers are recognising an increasing prevalence of frail, community-dwelling older adults, prone to adverse healthcare outcomes. Pre-frailty, before onset of functional decline, is suggested to be reversible but interventions targeting this risk syndrome are limited. No cons...
El objetivo principal de este trabajo es el diseño de una herramienta que permita la evaluación y el posterior diagnóstico de déficits de atención en pacientes con Daño Cerebral Adquirido (DCA). Esta herramienta es posible gracias a técnicas de eye-tracking en una tarea de tele-rehabilitación en una plataforma por ordenador. Esta tarea se desarroll...
El Proyecto PERSSILAA “PERsonalised ICT Supported Services for Independent Living and Active Ageing” es un proyecto europeo financiado por el FP7 en el que se desarrolla y valida un nuevo modelo de servicio, para detectar y prevenir la fragilidad en comunidades de personas mayores, integrando los dominios cognitivos, físico y nutricional. PERSSILAA...
Introduction This research work is part of the PERSSILAA project [1], a unique project that aims to develop and validate a new service model for older people, to screen for and prevent frailty in older adults. This multimodal service model, focusing on nutrition, physical and cognitive functioning, is supported by an interoperable ICT service infra...
Family care is the most accepted and preferred care setting for both long-term care patients and their relatives. However, many of these caregivers are elderly people themselves, and often reach the point
where they also need support. Care poses a substantial burden, so often it is not the health of the patient but the overload of stress for the ca...
Purpose
The aim of this study is to present the construct and concurrent validity of a motion-tracking method of laparoscopic instruments based on an optical pose tracker and determine its feasibility as an objective assessment tool of psychomotor skills during laparoscopic suturing.
Methods
A group of novice (\({<}10\) laparoscopic procedures), in...
Due to the progressive ageing of the world population, new care models are required to maintain elderly’s quality of life. These models should include the informal carer (IC) who usually lacks of skills and knowledge to develop assistance tasks. Therefore, support in decision making and informal carer empowerment are crucial to prevent and reduce t...
The care of the elderly is complex, with multiple agencies and individuals involved. We propose a new way of developing an ontology to reflect these aspects within a real-time home monitoring system so that it captures real-life circumstances and interactions. Our new methodology incorporates iterative and evaluative stages to ensure the ontology ca...
Family care is the most accepted and preferred care setting for both long-term care patients and their relatives. However, many of these caregivers are elderly people themselves, and often reach the point where they also need support. Care poses a substantial burden, so often it is not the health of the patient but the overload of stress for the ca...
Due to limitations in conventional medical imaging and the restrictions imposed by both the anatomy and the surgical approach in pancreatic cancer, there is a need for methods to support intraoperative imaging in order to improve their accurate anatomical localization and the characterization of their nature. Laparoscopic ultrasounds (LUS) images a...
This paper introduces a new approach for upper limb neurorehabilitation based on customized devices for monitoring and interacting with virtual environments. A proof-of-concept test involving eight patients at the Guttmann Neurorehabilitation Hospital shows patient's good acceptance and usability scores and demonstrates the technically feasibility...
Motion analysis is employed to assess minimally invasive surgical psychomotor skills in box trainers. Tracking of laparoscopic instruments requires sensor-based systems that can be expensive, limit movements and modify their ergonomic properties. We evaluate the feasibility of using Leap Motion as a cheap, unobtrusive alternative. Four experiments...
Esta investigación propone la valoración objetiva del control motor de la extremidad superior (ES) de pacientes con Daño Cerebral Adquirido (DCA) en neurorrehabilitación funcional, basada en la automatización de las pruebas de la evaluación Fugl-Meyer (FM). El objetivo principal de este trabajo es calcular una medida objetiva, puntuando de forma au...
En este trabajo se propone un método de comunicaciones para la monitorización de pacientes diabéticos basado en el patrón publicador/suscriptor el cual potencia la escalabilidad de dispositivos y usuarios y posee un alto nivel de flexibilidad. Con el fin de realizar una primera validación de la propuesta, se ha implementado un escenario simulado de...
Resumen Esta investigación propone la valoración objetiva del control motor de la extremidad superior (ES) de pacientes con Daño Cerebral Adquirido (DCA) en neurorrehabilitación funcional, basada en la automatización de las pruebas de la evaluación Fugl-Meyer (FM). El objetivo principal de este trabajo es calcular una medida objetiva, puntuando de...
Gestational diabetes (GD) confers an increased risk of complications as well as future type 2 diabetes. We assess the safety and efficacy of an artificial intelligence (AI)-augmented telemedicine system (ruled-based reasoning) that includes a blood glucose (BG) classifier (C4.5 Quinlan decision tree) in comparison with the standard care in the mana...
Background:
Brain Injury (BI) has become one of the most common causes of neurological disability in developed countries. Cognitive disorders result in a loss of independence and patients' quality of life. Cognitive rehabilitation aims to promote patients' skills to achieve their highest degree of personal autonomy. New technologies such as virtua...
Background: Minimally Invasive Surgery has revolutionized the surgical practice for the last years but it presents specific training processes. At the same time, e-Learning platforms and multimedia contents are now having great success within teaching processes in different fields. Purpose: to determine perception of surgeons towards e-MIS: e-Learn...
This paper proposes a first approach for the automation of the Fugl-Meyer assessment scale used in physical neurorehabilitation. The main goal of this research is to automatically estimate an objective measurement for five Fugl-Meyer scale items related to the assessment of the upper limb motion. An objective score has been calculated for 7 patient...
Biomedical & Health Informatics (BMHI) is relatively new in Arab States. However, several programs/ tracks are running, with high promises of expansion. Programs are evaluated by national authorities, not by a specialized body/association. This does not always mean that the program is of an international standard. One of the possible ways of ensuri...
The International Medical Informatics Association (IMIA) is the world body for biomedical and health informatics (BMHI). IMIA accreditation program allows the health and medical informatics programs around the world to reach to an international level. Staffs (professors, students, education programmes directors, others) that work on the accredited...
A correct patient-specific identification of the abdominal aortic aneurysm is useful for both diagnosis and treatment stages, as it locates the disease and represents its geometry. The actual thickness and shape of the arterial wall and the intraluminal thrombus are of great importance when predicting the rupture of the abdominal aortic aneurysms....