<p>The technological revolution driven by advancements in Artificial Intelligence (AI) is radically transforming various sectors, with healthcare among the most positively impacted. This article is situated within the context of such transformation, highlighting the contribution of AI in supporting professionals dedicated to the physical rehabilitation of stroke survivors. Our study focuses on the design of a Decision Support System (DSS) integrated within a comprehensive remote rehabilitation framework, consisting of two interconnected applications: one for the therapist, designed to define routines and monitor patients, and another for the patient, enabling autonomous rehabilitation exercises at home. This DSS employs fuzzy logic, significantly enhancing its scalability and interpretability. We propose a system capable of automatically suggesting personalized adjustments to a patient’s rehabilitation routine based on their performance. Our approach can offer physiotherapists considerable time savings by automating routine adjustments, thereby allowing them to allocate more attention to personalized patient care and complex case analysis. Furthermore, this system incorporates principles of Artificial Intelligence (XAI), providing justifications for its suggestions. This affords therapists a stronger basis for validating or rejecting the proposed modifications by the artificial system. The paper presents a case study where a stroke patient’s rehabilitation routine is automatically adjusted by the system, demonstrating the applicability and benefits of our approach. The routine generated by the artificial system is compared with the routine that a physiotherapist could potentially assign and modify manually when monitoring the progress of a stroke patient. Finally, the findings of a preliminary evaluation with patients and therapists in a hospital are also discussed.</p>