The Campbell Clinic Foundation team is exploring how artificial Intelligence (AI) can assist surgeons as they care for their patients, even facilitating the development of personalized treatment plans for patients. Among these studies, Dr. Thomas Throckmorton partnered with eight fellowship-trained shoulder and elbow surgeons around the world to evaluate the effectiveness of Machine Learning (ML) in anatomic or reverse total shoulder arthroplasty.
Clinical data from 8,280 patients with 19,249 postoperative visits was used to evaluate outcomes in relation to ethnicity, gender and age at time of surgery. The conclusions from this study are promising! They indicate that machine learning can accurately predict outcomes after shoulder replacement in all patients – regardless of gender, age and ethnicity.
Evaluating the utility of AI in orthopaedic surgery is vital to practices and surgeons, especially as this growing technology impacts daily patient care.