Computer-assisted simulation and personalised surgery

Multidisciplinary group internationally recognized as a reference in the field of personalized surgery as well as computer assisted surgery especially dedicated to the cranio-maxillofacial region. Experts in the use of intraoperative imaging and 3D printing with special interest in translational research concerning the application of artificial intelligence technology in these areas.

Group leader

Julio Jesus Acero Sanz

jacero(ELIMINAR)@salud.madrid.org

Tlf.: +34 91 336 80 51

Collaborating Staff

  • Fernando Almeida Parra
  • Eduardo Sánchez-Jáuregui Alpañes
  • Patricia de Leyva Moreno
  • Alberto Haddad Riesgo
  • Bianca Lago Beack
  • Elena Baranda Manterola
  • Ángela Bueno de Vicente
  • Álvaro Ranz Colio
  • Daniel Lourido García
  • Esther Moreno Moreno
  • Juan Carlos García Pérez
  • Pedro Molinero Mourelle
  • Cristina Cardenas Serres
  • José Luis de la Calle Reviriego
Imagen equipo

Group leader

Julio Jesus Acero Sanz

jacero(ELIMINAR)@salud.madrid.org

Tlf.: +34 91 336 80 51

Collaborating Staff

  • Fernando Almeida Parra
  • Eduardo Sánchez-Jáuregui Alpañes
  • Patricia de Leyva Moreno
  • Alberto Haddad Riesgo
  • Bianca Lago Beack
  • Elena Baranda Manterola
  • Ángela Bueno de Vicente
  • Álvaro Ranz Colio
  • Daniel Lourido García
  • Esther Moreno Moreno
  • Juan Carlos García Pérez
  • Pedro Molinero Mourelle
  • Cristina Cardenas Serres
  • José Luis de la Calle Reviriego

Strategic objectives 

  • Development of protocols for applying virtual planning techniques in different types of surgery.
  • Development of computer-aided systems for verifying surgical outcomes after treatment of tumors, deformities, and trauma, especially in the cranio-maxillofacial area.
  • Implementation of 3D model printing and bioprinting techniques to improve tissue regeneration and repair techniques, particularly in the skeletal system.
  • Development of algorithms for clinical and radiological image evaluation using artificial intelligence techniques to improve the diagnosis of cranio-facial pathologies.

Research lines

  • Surgical simulation based on computerized imaging, including virtual reality.
  • Automated intraoperative verification of surgical outcomes based on digital imaging.
  • Personalized craniofacial reconstructive surgery: virtual designs and 3D printing.
  • Application of artificial intelligence (AI) in early diagnosis and outcomes for head and neck cancer.
  • Innovative tissue regeneration and repair techniques.

Location

Ramón y Cajal University Hospital

Oral and Maxillofacial Surgery Department

6th Floor, Central Building

Keywords

Personalized medicine, computer-assisted surgery, craniofacial reconstruction