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1.
Jpn J Radiol ; 41(6): 637-647, 2023 Jun.
Article in English | MEDLINE | ID: mdl-36607553

ABSTRACT

PURPOSE: To evaluate the diagnostic performance of the transfer learning approach for grading diagnosis of ACL injury on a new modified dual precision positioning of thin-slice oblique sagittal FS-PDWI (DPP-TSO-Sag-FS-PDWI) sequence. And compare the prediction performances between artificial intelligence (AI) and radiologists. MATERIALS AND METHODS: Patients with both DPP-TSO-Sag-FS-PDWI sequence and arthroscopic results were included. We performed a transfer learning approach using the pre-trained EfficientNet-B0 model, including whole image and regions of interest (ROI) image inputs, and reset its parameters to achieve an automatic hierarchical diagnosis of ACL. RESULTS: A total of 235 patients (145 men and 90 women, 37.91 ± 14.77 years) with 665 images were analyzed. The consistencies of AI and arthroscopy (Kappa value > 0.94), radiologists and arthroscopy (Kappa value > 0.83, p = 0.000) were almost perfect. No statistical difference exists between the whole image and radiologists in the diagnosis of normal ACL (p = 0.063) and grade 3 injury (p = 1.000), while the whole image was better than radiologists in grade 1 (p = 0.012) and grade 2 injury (p = 0.003). CONCLUSION: The transfer learning approach exhibits its feasibility in the diagnosis of ACL injury based on the new modified MR DPP-TSO-Sag-FS-PDWI sequence, suggesting that it can help radiologists hierarchical diagnose ACL injuries, especially grade 2 injury.


Subject(s)
Anterior Cruciate Ligament Injuries , Knee Injuries , Male , Humans , Female , Anterior Cruciate Ligament Injuries/diagnostic imaging , Anterior Cruciate Ligament/surgery , Knee Injuries/diagnosis , Artificial Intelligence , Magnetic Resonance Imaging/methods , Machine Learning
2.
Int J Nurs Sci ; 7(3): 258-261, 2020 Jul 10.
Article in English | MEDLINE | ID: mdl-32817846

ABSTRACT

OBJECTIVE: As a developable ability, empathy is significantly associated with patient-centered care. The authors intended to evaluate the effect of Virtual Dementia Tour (VDT) upon nursing students' empathy level and propose practical rationales for optimizing future dementia care. METHODS: A total of 45 second-year undergraduate nursing students were organized to watch a theme movie entitled Still Alice and participate in an 8-min VDT. Jefferson Scale of Empathy-Health Professional Students (JSE-HPS) was employed for evaluating the empathy level of nursing students. After VDT, all nursing students participated in a structured interview. Descriptive statistics and paired t-tests were performed using SPSS 24.0. RESULTS: Their empathy levels demonstrated significant overall improvements (106.69 ± 9.49 vs 115.51 ± 10.16, P < 0.01). During the course of VDT, nursing students experienced varying levels of anxiety and frustration. All of them were satisfied with the program since they had gained a deeper understanding of demented patients and the program could change their attitudes toward demented elders. CONCLUSION: Watching a specially selected movie and participating in VDT may be an effective method for enhancing empathy and caring during nursing student education.

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