In this thought-provoking episode, Marc and Mo highlight a recent single-center study on the use of machine-learning algorithms in orthopaedics and use it as a springboard into larger discussion of the inherent opportunities and challenges that have always been associated the ongoing process of scientific exploration into new domains, with a focus on the intriguing question: “Is there a day in the future when clinical decision-making will be reduced to these machine-learning algorithms?” OrthoJOE Mailbag: feedback, comments, and suggestions from our audience can be sent to orthojoe@jbjs.org Links: • Kunze KN, Polce EM, Clapp I, Nwachukwu BU, Chahla J, Nho SJ. Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in Athletes. J Bone Joint Surg Am. 2021 Jun 16;103(12):1055-1062. doi: 10.2106/JBJS.20.01640. PMID: 33877058. https://jbjs.org/reader.php?id=209282&rsuite_id=2845874&native=1&source=The_Journal_of_Bone_and_Joint_Surgery/103/12/1055/fulltext&topics=sm#info • OrthoBuzz Blog Entry: https://orthobuzz.jbjs.org/2021/06/21/use-of-machine-learning-to-predict-improvement-after-hip-arthroscopy/ • Author Insights video: https://www.youtube.com/watch?v=KRT98A2HDn8