Developers unveiled the Sarcopenia Artificial Intelligence Diagnostic Decision Support System (SAID DSS), an AI model that identifies sarcopenia with high accuracy using clinical and imaging inputs. The study that introduced SAID DSS reported improvements in diagnostic consistency for age‑related muscle wasting and suggested potential value for geriatric screening programs. SAID DSS could streamline referral pathways and standardize case detection in primary care and long‑term‑care settings; however, deployment will require validation across diverse populations and integration with electronic health records to ensure clinical utility and regulatory compliance for decision‑support tools.