Surgery and Interventional Procedures
- About the area
- Groups
- Mixed Unit
The area of research in surgery and interventional procedures brings together professionals from different fields and disciplines who carry out their scientific activity with the aim of generating knowledge of clinical application and generating technological innovations that improve healthcare practice.
The research groups in the area promote theapplication of new technologies, such as 3D printing or artificial intelligence, for theadvancement of knowledge in the field and for generate innovations that can have an impact on better patient care. We highlight the two technological laboratories created from the knowledge of the groups: 3D laboratories i medical imaging laboratory, both leading impact projects at the NHS in collaboration with other groups at the institute.
The area maintains active collaborations with other research centers, technology centers and companies, thus allowing the generation of multidisciplinary teams and enhancing the transfer of results.
Strategic lines of the area
- Application of new technologies for the reduction of invasive procedures.
- Application of artificial intelligence in Big Data and image analysis to generate prediction and diagnostic algorithms.
- Application of 3D printing technology to improve efficiency and quality in surgical procedures and interventions.
Group A9G1 - Locomotor System Research Group
Accreditation level: Popup group
GRE 2021 SGR 01372
Lines of research
- Radiomics applied to the prediction of clinical outcomes in orthopedic surgery and traumatology: 3D and AI technology for surgical planning and personalized guides.
- Quality improvement of traumatic and orthopedic pathology procedures.
- Meta-research and patient-centered outcomes of orthopedic and trauma surgery.
Composition of the group
Joan Miquel Noguera (group co-leader) | ORCID
Xavier Pelfort López (co-group leader) | ORCID
Doctoral research staff
- Carballo Garcia, Alejandro
- Del Mazo Barbara, Laura
- Son Gomà, Ferran
- Gil Gonzalez, Sergi
- Marcano Fernández, Francis
- Martí Garin, David
- Miquel Noguera, Joan
- Pellejero García, Raúl
- Tey Pons, Marc
Predoctoral
- Acerboni Flores, Francis
- Cámara Cabrera, Jaume
- Freijo Gutierrez, Valentin
Support professionals
- Ferrer Raventos, Paula
- Parera Martinez, Carolina
- Viñas Noguera, Mireia M
Non-doctoral research staff
- Alavedra Massana, Anna
- Andriola, Vito
- Anglada Torres, Neus
- Gimeno Calavia, Nuria
- Gonzalez Vargas, Jose Antonio
- Lizundia Izaguirre, Aritz
- Martinez Grau, Patricia
- Murias Alvarez, Joan
- Rojas Sayol, Roger
- Salomó Domènech, Monica
- Sanchez Fernandez, Joel
- Serrano Sanz, Jorge
- Soler Cano, Albert
Associated professionals
- Alavedra Massana, Anna
- Amestoy Ramos, Jorge
- Andriola, Vito
- Berenguer Sánchez, Alexandre
- Blasco Moreu, Jorge
- Well Ruiz, Mercedes
- Caparros García, Ariadna
- Costa Ventura, Helena
- Fernández Poch, Núria
- Fuentes Lopez, Ruben
- Galdina Valls, Pilar
- Gasset Teixidor, Alfons
- Girvent Montllor, Francesc
- González Riveiro, Maribel
- Graells Alonso, Guillem
- Harb Peralta, Jean Pierre
- Julian Castro, Guadeloupe
- López Bonet, Angels
- Lopez Góngora, Sheila
- Maciejczyk Boix, Pablo
- Maldonado Sotoca, Yeray
- Martínez Alvarez, Marta
- Martinez Sañudo, Luis
- Molina Corbacho, Matilde
- Navarro Oliver, Claudia
- Peñalver Matamoros, Juan Manuel
- Alonso Bridge, Carlos
- Ráfols Perramon, Ona
- Ricol Lainez, Laura
- Rododera Puigdemasa, Josep
- Roqueta Andreu, Lídia
- Sacristan Prat, Mariona
- Sanchez Flo, Ricard
- Sánchez Palomino, María Estrella
- Simon Sánchez Isabel
- Soler Cano, Albert
- Velasco Barrera, Aldo
- Verdaguer Figuerola, Arnau
Group A9G2 – Polytrauma, emergency surgery and transfusion medicine
Accreditation level: Popup group
Lines of research
- Diagnosis and treatment of polytraumatized patients.
- Study of blood products and fluids in the care of polytraumatized patients.
- Study and development of innovative tools in the treatment of patients undergoing emergency care.
- Creation and application of protocols for preoperative decision-making and postoperative recovery in patients undergoing emergency surgery.
Composition of the group
Salvador Navarro Soto (Group leader) | ORCID
Doctoral research staff
- Campos Serra, Andrea
- Gracia Roman, Raquel
- Llaquet Bayo, Heura
- Montmany Vioque, Sandra
- Muñoz Campaña, Anna
Non-doctoral research staff
- Farré Alins, Pau
- Llorach Perucho, Núria
- Molero Cano, Carlos
Associated professionals
- Barna Olomi, Irene
- Guitart Giménez, Josep
- Martinez Lopez, Fernando
- Renter Valdovinos, Lluis
- Subirana Bofill, Rita
Group A9G3 - Research in colorectal surgery
Accreditation level: Consolidated group
GRC 2021 SGR 01580
The Colorectal Surgery Research Group focuses on the development and application of minimally invasive colorectal surgery techniques. It is mainly formed by a team of surgeons specializing in the implementation and improvement of surgical procedures of this type.
His main lines of work include transanal endoscopic surgery and minimally invasive surgery for large colon adenomas using the CELS (Combined Endoscopic Laparoscopic Surgery) technique.
The group also develops projects aimed at improving current surgical techniques with the aim of reducing their impact on patients. In this sense, it has promoted the development of an innovative system for the detection of intestinal vascularization using indocyanine green, integrated into the SERGREEN software. At the same time, it works on promoting outpatient treatment models that allow reducing hospitalizations, such as the outpatient colectomy program and the approach to diverticulitis with anti-inflammatory treatment.
Lines of research
- Research and innovation in transanal endoscopic surgery treatments and techniques.
- Development of new techniques for objectifying the vascularization of the intestine.
- Acute diverticulitis. New conservative treatment management based on the modified Neff classification.
Composition of the group
Xavier Serra Aracil (Group leader) | ORCID
Doctoral research staff
- Badia Closa, Jesus
- Garcia Nalda, Albert
- Mora Lopez, Laura
- Pallisera Lloveras, Anna
- Serracant Barrera , Anna
Predoctoral
- Gonzalez Costa, Anna
- Granados Maturano, Ana
- Hidalgo Rosas, Jose Manuel
- Llorach Perucho, Nuria
- Torrecilla Portolés, Andrea
Non-doctoral research staff
- Caraballo Angeli, Mariana
- Pino Pérez, Oriol
Group A9G4 - Clinical, interventional and computational nephrology (CICN)
Accreditation level: Popup group
The CICN is a research and innovation group that brings together professionals from different fields who carry out their activity in the area of renal pathology. Its activity includes several lines covering clinical nephrology, renal interventionism and the development of computer and artificial intelligence systems.
The group is made up of professionals from different fields to develop research and translational innovation in patients with kidney disease and hemodialysis. The aim covers on the one hand the study of the pathophysiology and biomarkers in inflammation, immunity and infection in the renal patient, as well as in the development of kidney diseases. On the other hand, it generates the framework for the development of healthcare processes, research and innovation in the field of vascular access for hemodialysis.
The transversal nature of the group, which includes professionals from various specialties and profiles in medicine and biomedical engineering, allows the generation of translational projects that cover the generation of projects that translate into clinical care, teaching, research and innovation. The team is made up of specialists in nephrology, vascular surgery, interventional radiology, nursing and biomedical engineers in a framework of collaboration with the School of Engineering of the Autonomous University of Barcelona, Biomedical Engineering of Pompeu Fabra University and the University of North Carolina (USA). In this context, together with the School of Engineering of the Autonomous University of Barcelona, the Master in Artificial Intelligence and Big Data in Health. The group also actively collaborates with the Faculty of Biomedical Engineering of Pompeu Fabra University. On the other hand, the group is part of the Interventional Nephrology training program NEPHROPATH, awarded by the Erasmus + Program of the European Commission.
Lines of research
- Vascular access by hemodialysis: inflammation, infection, ultrasound, hemodynamics, predictive models of thrombosis, ButtonHole technique, pathophysiology of intimal hyperplasia, therapeutic models and Artificial Intelligence.
- Pathophysiology of glomerular diseases.
- Biomarkers of infection in uremia.
- Immunity to uremia.
- Predictive models and Clinical Decision Support Systems (CDSS) based on Artificial Intelligence and Data Mining for the management of patients with chronic renal failure and hemodialysis.
- Biosensors
Composition of the group
Jose Ibeas Lopez (Group leader) | ORCID
Doctoral research staff
- Betancourt Castellanos, Loreley
- Merino Raldua, Jana
- Teixidor Viñas, Mireia
Predoctoral
- Garcia Agreda, Daniela
- Navazo Santamaria, Diego
Non-doctoral research staff
- Comangas Yéboles, Alejandra
- Eizaguerri Gallardo, Sandra
- González de la Huebra Labrador, Teresa
- Lopez Alba, Thais
- Oliver and Alabau, Isaura
- Pico Ruiz, Sandy Valeria
- Rodriguez Omenac, Alba
- Rubiella Rubio, Carolina
- Vallespín Aguado, Joaquim
- Vidal Borrego, Marta
Associated professionals
- Raised Paredes, Eva
- Rubiella Rubio, Carolina
- Teixidor Viñas, Mireia
- Vidal Borrego, Marta
Outstanding projects
- Anais Medical: Simulation methods for performing invasive procedures in the renal patient.
- Nephrocloud: Software for the clinical management of vascular access by hemodialysis.
Group A9G5 – Artificial Intelligence applied to Medical Imaging (GIAMed)
Accreditation level: Associated group
The GIAMed group was created with the aim of being a research and advisory unit in the application of artificial intelligence to medical imaging diagnosis. When a disruptive technology such as artificial intelligence appears, research is essential to generate knowledge and technology transfer that can benefit both our hospital and the national health system as a whole.
The research lines of this group cover all research activity related to the development and implementation of artificial intelligence (AI) algorithms in medical imaging. For example, the application of AI to the development of new image reconstruction and processing algorithms, as well as visualization tools, tissue segmentation and conversion to printable 3D objects.
GIAMed is formed by a multidisciplinary team with an extensive track record in collaborations with other public and private entities. On the one hand, it has clinical staff, including specialists in diagnostic imaging, as well as nursing staff and diagnostic imaging technicians. On the other hand, it integrates engineering, bioengineering, mathematics and computer science profiles. GIAMed seeks to maintain close collaboration with other research groups in artificial intelligence from Catalan universities such as BCN-AIM, UdG-VICOROB, the UAB and the UB. In this way, the group aspires to consolidate itself in the field of research in the application of artificial intelligence to medical imaging.
Lines of research
- Interventionism
- Breast and gynecological pathology
- QA evaluation of radiological reports with AI techniques
Composition of the group
Josep Fernández Bayó (Group leader)
Doctoral research staff
- Malet I Munte, Antoni
- Perendreu Sans, Joan
Predoctoral
- Cold Rib, Marco
- Del Riego Ferrari, Javier
- Lopez Mora, Diego Alfonso
Non-doctoral research staff
- Aynes Suarez, Cecilia
- Cheranovsky Glanev, Vladimir
- Correa Soto, Roberto Eduardo
- Martin Olóriz, Amaya
- Novel Teixidó, Francesc
- Romero Flórez, Nicolás
Support professionals
- Ribas Mercau, Diego Ignacio
The Kidney4All Joint Research Unit was created in 2021 to consolidate the relationship between the UAB Department of Telecommunications and Systems Engineering and the Parc Taulí Research and Innovation Institute. Specifically, the Wireless Information Networking research groups, currently led by Antoni Morell, and the A9G4 Clinical, Interventional and Computational Nephrology research group at I3PT, led by Dr José Ibeas, are taking part.
Within this unit, several lines of research, innovation and teaching have been generated. Highlights The Master in Artificial Intelligence and Big Data in Health (more information).
Main objectives:
- Development of predictive models based on computer simulation and artificial intelligence of vascular access failure of hemodialysis patients
- Development of predictive models in the progression of chronic renal failure and in the occurrence of cardiovascular complications and mortality.
I3PT Manager
- Jose Ibeas
I3PT research staff
- Diego Navazo
- Daniela garcia
- Carolina Rubiella
UAB Manager
- Anthony Morell
UAB research staff
- José López Vicario
- Edward Macias
- Dolores Reixach
- SIMUFAV project. Predictive models based on computer simulation and artificial intelligence of vascular access failure of hemodialysis patients.
- INTELKIDNEY project. Predictive models of mortality and cardiovascular complications in the patient with chronic renal failure.
- Predictive models of heart failure in the patient with advanced chronic renal failure in relation to arteriovenous fistula by hemodialysis.
- Predictive models of mortality in critically ill patients with Acute Renal Failure based on artificial intelligence.
- Predictive models of sepsis in the critically ill patient.