%0 Journal Article
%A Akira Morita
%A Yuta Iida
%A Yutaka Inaba
%A Taro Tezuka
%A Naomi Kobayashi
%A Hyonmin Choe
%A Hiroyuki Ike
%A Eiryo Kawakami
%T Preoperative prediction for periprosthetic bone loss and individual evaluation of bisphosphonate effect after total hip arthroplasty using artificial intelligence
%D 2024
%J Bone & Joint Research
%P 184-192
%V 13
%N 4
%R 10.1302/2046-3758.134.BJR-2023-0188.R1
%U https://doi.org/10.1302/2046-3758.134.BJR-2023-0188.R1
%K Total hip arthroplasty,Bone mineral density,Artificial intelligence,Machine learning,Bisphosphonate,total hip arthroplasty (THA),bisphosphonates,Bone mineral density (BMD),estimated glomerular filtration rate,triglyceride,periprosthetic bone loss,primary THA,femur,t-test,dual energy X-ray absorptiometry