The http://en.vhir.org/portal1/grup-equip.asp?t=unitat-de-recerca-de-la-columna-vertebral&s=recerca&contentid=187108 Spine Research Unit of Vall d'Hebron Research Institute (VHIR), led by Dr. Ferran Pellisé, has won the second prize for the best communication at the http://www.geeraquis.org/" GEER congress of the Spanish Society of Spine, hosted last June in Avila.The awarded paper, titled "The complications in Adult Spinal Deformity surgery can be reliably predicted", studies the prediction capacity of different methodologies created by Artificial Intelligence techniques.As Dr. Pellisé explains it, "to predict reliably the Main Complications, the re-interventions or readmissions at the hospitals, and define the associated risk to the Adult Spinal Deformity surgery, is possible. The improvement of the physical conditions before the patient's intervention, the adjustment of the chirurgic invasion depending on the fragility of the patient, and the optimization of the hemostatic management during the intervention should improve the results of the surgery for the ASD". By this means, explains the doctor, a better advice could be given to the patient, as well as a basic aid for the clinic personnel during the decision-making.The development and validation of these prediction models could be done thanks to the collective effort of the biggest international consortium on the field of Adult Spinal Deformity. Both groups, the European Spine Study Group (ESSG), centralized at VHIR, and the International Spine Study Group (ISSG), centralized at USA, joined the information from their data base, collecting almost 3000 patients.The study managed to increase the reliability of the results and to apply automatic learning methodologies (Artificial Intelligence), by monitoring during 2 years and a half the selected patients, who went through surgery by surgeons from more than 5 different countries.The interaction between the traits of the patients, the life quality index before the surgery, and the chirurgic factors, were analyzed considering the spinal level, the tolerance to walking, sagittal parameters, age, and other factors from the patient.Therefore, the computation of all these factors, besides the ones related to the patients' traits, allowed the AI model to determine the predictions for chirurgic complications in a 96%, leaving the remaining 4% to the surgeon or the institution's hands.The award adds another recognition to the research group of VHIR that is investing on the medical personalization in surgery.