This article reviews the expanding role of artificial intelligence (AI) across the orthopedic care continuum, emphasizing how it enhances patient experience from education to recovery. Through examples like OssoVR and virtual reality platforms, AI-powered education improves procedural accuracy and training efficiency. For example, OssoVR improved tibial nail accuracy and completion rates compared to non-AI training. AI also supports clinical decision-making, preoperative planning, and implant sizing. Algorithms using demographic data such as shoe size have predicted implant size with high precision, streamlining surgical inventory and reducing costs. Radiomic tools like the B-score predict osteoarthritis progression based on femur morphology, enhancing surgical targeting. AI has also demonstrated high accuracy in anatomic segmentation and implant fitting, matching or exceeding radiologist performance. Intraoperatively, AI-assisted robotics help tailor procedures to individual patient biomechanics, promoting functional alignment and improving outcomes. Postoperatively, wearable sensors and AI vision systems achieved 100% data capture and 88% patient engagement in knee arthroplasty recovery. AI further optimizes OR scheduling and hospital communication, with platforms like Care.ai and Vocera improving safety and staff efficiency. The authors advocate for a digital ecosystem where AI integrates across education, planning, surgery, and rehabilitation—enabling personalized, data-driven musculoskeletal care.