Background: Motivated by a personal tragedy involving a medical error with severe consequences, Synupse was developed to transform musculoskeletal disorder (MSD) care. By integrating cutting-edge artificial intelligence (AI) with patient-centered principles, it aims to enhance diagnostic precision and treatment outcomes, addressing the global burden of MSDs on healthcare systems. Methods: Synupse’s development spanned ۲۰۱۴ to ۲۰۲۳, progressing through ideation, clinical insights (۲۰۱۴-۲۰۱۷), framework design (۲۰۱۷-۲۰۲۰), an online pilot (۲۰۲۰-۲۰۲۱), and full deployment in ۲۰۲۳. It integrates deep neural networks for data processing, Cognitive Behavioral Therapy (CBT) for psychological support, and patient-centered care to prioritize individual needs. Core Features: The system rests on five pillars: accurate patient data categorization, a CBT-informed care framework, shared decision-making, patient-centered design, and AI-powered decision support tools. Clinical Application: Synupse operates via four wards: Carebot for efficient symptom triaging using a tri-fast checklist and sonex) US+ exam) with ۶ types of care( including ۳ stages team work. online . occupational therapist chat based) .Evaluation for building detailed patient profiles through biomechanical and psychosocial assessments; Treatment for delivering CBT-driven interventions, including exercises, injections, surgeries, and a six-week program of education, occupational therapy, and home exercises; and Management for coordinating ongoing care. For security we use GPT۴ALL as asecure local LLM Results: Applied to ۲۶,۷۸۰ patients across stages (Stage ۱: ۱,۹۲۰; Stage ۲: ۷۰۲۹; Stage ۳: ۷۳۷۰; Stage ۴: ۱۰۲۰۰), with substages (primary care: ۵۴۲۰; four-ward: ۴۵۵۰; AI-driven: ۴۱۸), all received PTG and home exercises. Key Results:۸۲% of diagnoses aligned with MRI results, that is good overall we prescribe MRI in ۱۰% of patients that compare to ۱۵ -۲۰% overall in iran synupse is better ; treatment started with mean ۱.۴ drugs per prescription that is lower than average in iran( ۲-۳ for MSD) and home exercises; ۸۹% reported improved pain levels; AI diagnosis was accepted within three months, with rapid growth aided by Large Language Models (LLMs) Conclusion: Synupse demonstrates potential as an AI-driven healthcare operating system for MSD management, reducing imaging and drug use while improving outcomes. I would need additional longitudinal studies.
