Abstract Improved technology made Telemedicine easier. Patients can use Telemedicine online or through mobile apps. Moreover, Telemedicine enables video or phone appointments between patients and their healthcare practitioners to meet their mutual goals. Application of Telehealth and artificial intelligence in nurse-led patient education among Patients with Orthopedic Restricted Mobility could provide many advantages to patients and nursing practitioners. Aim: This study aims to examine the effect of an educational program using Telehealth and artificial intelligence on selected outcomes among orthopedic patients with restricted mobility Design: Quasi-experimental post-test-only design was employed in the present study Setting: The study was conducted in different orthopedic words at a governmental hospital afflicted with Cairo University Hospital, Cairo, Egypt. Sample: sixty adult male and female patients with different orthopedic problems/ surgeries divided into intervention and control groups (30 patients in each group). Methods: Researchers provided nursing instructions about the range of motion, coughing, and breathing exercises using selected mobile apps through artificial intelligence to facilitate patient training. Results: Neurovascular, respiratory and gastrointestinal status score of the patients who received the teaching program was higher than the neurovascular status score of patients who received routine care. Conclusion: The nurse-led education using Telehealth and artificial intelligence significantly improved patients' knowledge and selected physical functional outcomes one week and three weeks post-intervention. The total patients' knowledge score correlates positively with the total physical functional score. Recommendation: The application of nurse-led patient education using Telehealth and artificial intelligence should be included within nursing care. For patients with orthopedic disorders.