Optimizing Early Rehabilitation in Adolescent Idiopathic Scoliosis: Ai-driven Prediction for Personalized Treatment Strategies 2529

Thursday, October 30, 2025

11:00 AM - 11:15 AM

Location: ROOM: Private Dining Room #4 >>> DIRECTIONS Third Floor >>> From the Main Elevator Bank, take the elevator to the 3rd Floor. Turn left and walk past Astoria and turn left into the corridor. PDR #4 is at the end of the hallway.

Non-presenting Author(s)

Paola Contessa, PhD

Engineer
University of Padua
Padova, Veneto, Italy

Slides Slides
EB

Elena Barzizza

Research Assistant
University of Padua
Padova, Italy
GR

Gianluca Regazzo

Medical Doctor
University of Padua
Padova, Italy
RC

Riccardo Ceccato

Assistant professor
University of Padua
Padova, Italy
LS

Luigi Salmaso

Full Professor
University of Padua
Padova, Italy

Presenting Author(s)

SM

Stefano Masiero, MD (he/him/his)

Full Professor
University of Padua
Padova, Veneto, Italy

Learning Objectives:

Explain how machine learning models, particularly the Gradient Boosting Machine algorithm, can enhance early risk stratification in Adolescent Idiopathic Scoliosis (AIS) patients.
Compare Artificial Intelligence (AI)-generated recommendations with actual clinical decisions to assess their potential impact on treatment outcomes.
Discuss the advantages and limitations of AI integration in clinical decision-making for AIS .