Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future

[1] Moor J(2006)The Dartmouth College Artificial Intelligence Conference: the next fifty years AI Mag 27 87-91

[2] Pesapane F(2018)Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine Eur Radiol Exp 2 35-88

[3] Codari M(2017)A survey on deep learning in medical image analysis Med Image Anal 42 60-1930

[4] Sardanelli F(2015)Machine Learning in Medicine Circulation 132 1920-417

[5] Litjens G(2020)Machine Learning Applications in Orthopaedic Imaging J Am Acad Orthop Surg 28 415-2250

[6] Kooi T(2017)Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: comparison of computed tomography-based radiological features with clinical features versus without clinical features J Orthop Surg (Hong Kong) 25 2309499017716243-1534

[7] Bejnordi BE(2017)Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative J Orthop Res 35 2243-118

[8] Deo RC(2015)Identification of type 2 diabetes subgroups through topological analysis of patient similarity Sci Transl Med 7 311ra174-29

[9] Wang VM(2017)What can machine learning do? Workforce Implications Science 358 1530-704

[10] Cheung CA(2017)Dermatologist-level classification of skin cancer with deep neural networks Nature 542 115-3623

[1] Moor J(2006)The Dartmouth College Artificial Intelligence Conference: the next fifty years AI Mag 27 87-91

[2] Pesapane F(2018)Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine Eur Radiol Exp 2 35-88

[3] Codari M(2017)A survey on deep learning in medical image analysis Med Image Anal 42 60-1930

[4] Sardanelli F(2015)Machine Learning in Medicine Circulation 132 1920-417

[5] Litjens G(2020)Machine Learning Applications in Orthopaedic Imaging J Am Acad Orthop Surg 28 415-2250

[6] Kooi T(2017)Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: comparison of computed tomography-based radiological features with clinical features versus without clinical features J Orthop Surg (Hong Kong) 25 2309499017716243-1534

[7] Bejnordi BE(2017)Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative J Orthop Res 35 2243-118

[8] Deo RC(2015)Identification of type 2 diabetes subgroups through topological analysis of patient similarity Sci Transl Med 7 311ra174-29

[9] Wang VM(2017)What can machine learning do? Workforce Implications Science 358 1530-704

[10] Cheung CA(2017)Dermatologist-level classification of skin cancer with deep neural networks Nature 542 115-3623