Advances in the application of deep learning for the diagnosis and treatment of osteonecrosis of the femoral head

VernacularTitle:深度学习在股骨头坏死诊疗中的应用进展
Author: Jia-Hao FU ¹ ; Hao CHEN ; Hong-Zhong XI ; Cheng-Lin LIU ; Yao-Kun WU ; Xin LIU ; Guang-Quan SUN
Author Information

1. 南京中医药大学附属医院骨伤科,江苏南京 210029;江苏省中医院骨伤科,江苏南京 210029
Keywords: femoral head necrosis; deep learning; convolutional neural network
From: Medical Journal of Chinese People's Liberation Army 2025;50(10):1235-1242
CountryChina
Language:Chinese
Abstract: With the rapid development of deep learning(DL)technology,its potential applications in the medical field have become increasingly prominent.As a refractory disease,osteonecrosis of the femoral head(ONFH)has certain limitations in traditional diagnostic and therapeutic approaches.The application of DL technology is expected to overcome these limitations and improve diagnosis and treatment outcomes.At present,the applications of DL models-including enhancing image clarity,improving diagnostic accuracy and efficiency,conducting prognostic evaluations,optimizing preoperative planning,assisting intraoperative imaging,and customizing personalized treatment plans-have fully demonstrated their tremendous potential in the diagnosis and treatment of ONFH.This review summarizes the current application status of DL in ONFH diagnosis and treatment,aiming to provide references and insights for future related research.