Abstract
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteric fracture of femur by X-ray film classification and recognition method based on artificial intelligence algorithm. The study subjects were 100 elderly patients with intertrochanteric fracture of femur admitted to hospital. The cases were diagnosed as elderly (over 60 years old) femoral intertrochanteric fractures by X-ray or CT. They were divided into two groups, with 50 persons in each group: one group used the X-ray film evaluation image guidance based on the artificial intelligence algorithm (research group), and the other group did not use algorithmic guidance (control group). The results showed that the segmentation effect of the proposed algorithm was similar to the gold standard segmentation result, indicating that the algorithm was effective and feasible in the segmentation of fractures and bones. The global level set algorithm was set as the control. The ultimate measurement accuracy (UMA) value of the algorithm group was (1.77 ± 0.22), and the UMA value of the global level set algorithm group was (3.42 ± 0.36), indicating that the image processed by the algorithm group had obvious numerical effect, high accuracy, and good retention of details. The operation time, intraoperative blood loss, incision length, hospital stay, weight-bearing time, and fracture healing time of the two groups were all better than those of the control group. One month after surgery, the Harris score of the algorithm group was 67, and that of the control group was 51, with a 16-point difference between the two groups (p < 0.05). The patient had less pain and fast recovery speed, indicating that it was a good way to treat elderly intertrochanteric fractures with the nursing effect of X-ray Gamma nail internal fixation based on an artificial intelligence algorithm. The artificial intelligence algorithm not only can be applied to the Gamma nail internal fixation of elderly patients with intertrochanteric fractures but also can be applied to the X-ray image processing of other fractures and other surgical methods to provide effective treatment for fracture patients.
Highlights
With the aging of society, there are more and more patients with osteoporosis in the elderly, and the annual incidence of intertrochanteric fracture of femur is increasing year by year
The difference between the two groups was 1.65 points, and the value showed statistical differences (p < 0:05). It showed that the image processed by the algorithm group had obvious numerical effects, the image accuracy was high, and the details were better preserved (Figure 6)
The difference between the two groups in the ultimate measurement accuracy (UMA) value of the global level set algorithm group was 1.65 points, and the value was statistical difference (p < 0:05), indicating that the image processed by the algorithm group had obvious numerical effects, high image accuracy, and good detail retention
Summary
With the aging of society, there are more and more patients with osteoporosis in the elderly, and the annual incidence of intertrochanteric fracture of femur is increasing year by year. Clinical features of intertrochanteric fracture of femur are as follows. Intertrochanteric fracture of femur often occurs at the site of osteoporosis, and most patients are elderly [2]. An intertrochanteric fracture of the femur can cause pain, swelling, fatigue, and inability to move the trunk. Most patients have symptoms of ectropion deformity. It can be determined by X-ray examination and classified according to X-ray [3]. The treatment of the intertrochanteric fracture of femur is basically classified into nonsurgical treatment and surgical treatment [4]. There is very little blood supply in the intertrochanter of femur, and noncurative thigh bone necrosis often occurs
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