[Development of a New AI-Driven Method for Objective Functional Impairment Assessment Using Walker View and XCLINIC Sensors].

Abstract

Background: In recent years, artificial intelligence has revolutionized the medical and rehabilitation sectors, providing advanced tools for patient assessment and health improvement. Its integration into forensic medicine represents a pivotal advancement that could redefine biological damage assessment methodologies. The primary objective of this study is to develop and validate an innovative forensic medical evaluation method that integrates instrumental rehabilitation assessments.

Methods: All individuals included in the study will undergo three different assessments: forensic Medical Evaluation; Physiotherapeutic Evaluation, which will include Medical history and physical examination, Assessment of joint range of motion (ROM) and muscle strength, Gait analysis and Evaluation of quality of life through standardized assessment scales; Evaluation through Occupational Therapy, Speech Therapy, and Orthoptic Therapy.

Results: The evaluation process begins with a forensic medical examination, followed by an instrumental functional evaluation using Walker View and XCLINIC sensors, for gait, balance, joint mobility, and muscle function. Participants also completed standardized disability and quality-of-life questionnaires.

Conclusion: By combining traditional clinical assessments with validated rehabilitation tools, this methodology enhances objectivity, accuracy, and reproducibility in the quantification of biological damage. The proposed approach bridges the gap between forensic and rehabilitative assessments, ensuring fairer compensation processes and personalized therapeutic strategies for improving functional recovery.