Objective To investigate the effectiveness of problem-based learning in the biochemistry teaching in merging class of minority and Han students.Methods Totally 460 clinical medical students were divided into PBL group which contained 252 students and the traditional teaching group which involved 208 students,respectively.According to each team of seven to eight students,minority and Han students randomly arranged.Control group used classroom teaching mode,experimental group in addition to classroom lectures,had additional 12 hours of PBL teaching,but the theory classes for the two groups of students were taught by the same six teachers with rich teaching experience,and the teaching content and teaching material selection were also the same.At the end of the course,the learning outcomes were evaluated by using descriptive analysis and t test (α=0.05) based on the combination of theoretical examination,experimental practice and the questionnaire survey method.Results Compared with the traditional teaching group,the final scores were higher than those of PBL group (84.72 ± 6.99 and 80.34 ± 7.12,P＜0.05).There were also statistically significant between two groups according to different nationality(Minority:85.65 ± 5.27 and 79.70 ± 7.14;Han:83.91 ± 8.26 and 80.95 ± 7.08;P＜0.05),and interestingly the increased ratio of scores was higher in minority than that in Han.The questionnaire surveys indicated that the PBL teaching method could enhance professional and comprehensive qualities of students and more than 81.83％ students were satisfied with the new teaching mode.Conclusions The combination of tradition and PBL-based teaching methods improved the quality of biochemistry teaching of clinical medicine in merging class of minority and Han students in Xinjiang Medical University.

Bone and soft tissue tumors occur in the musculoskeletal system, and malignant bone tumors of bone and soft tissue account for 0.2% of all human malignant tumors, and if not diagnosed and treated in a timely manner, patients may be at risk of a poor prognosis. Image interpretation plays an increasingly important role in the diagnosis of bone and soft tissue tumors. Artificial intelligence (AI) can be applied in clinical treatment to integrate large amounts of multidimensional data, derive models, predict outcomes, and improve treatment decisions. Among these methods, deep learning is a widely employed technique in AI that predominantly utilizes convolutional neural networks (CNN). The network is implemented through repeated training of datasets and iterative parameter adjustments. Deep learning-based AI models have successfully been applied to various aspects of bone and soft tissue tumors, encompassing but not limiting in image segmentation, tumor detection, classification, grading and staging, chemotherapy effect evaluation, recurrence and prognosis prediction. This paper provides a comprehensive review of the principles and current state of AI in the medical image diagnosis and treatment of bone and soft tissue tumors. Additionally, it explores the present challenges and future prospects in this field.

Bone and soft tissue tumors occur in the musculoskeletal system, and malignant bone tumors of bone and soft tissue account for 0.2% of all human malignant tumors, and if not diagnosed and treated in a timely manner, patients may be at risk of a poor prognosis. Image interpretation plays an increasingly important role in the diagnosis of bone and soft tissue tumors. Artificial intelligence (AI) can be applied in clinical treatment to integrate large amounts of multidimensional data, derive models, predict outcomes, and improve treatment decisions. Among these methods, deep learning is a widely employed technique in AI that predominantly utilizes convolutional neural networks (CNN). The network is implemented through repeated training of datasets and iterative parameter adjustments. Deep learning-based AI models have successfully been applied to various aspects of bone and soft tissue tumors, encompassing but not limiting in image segmentation, tumor detection, classification, grading and staging, chemotherapy effect evaluation, recurrence and prognosis prediction. This paper provides a comprehensive review of the principles and current state of AI in the medical image diagnosis and treatment of bone and soft tissue tumors. Additionally, it explores the present challenges and future prospects in this field.

Objective:To investigate the early effect of repairing acetabular cartilage delamination with absorbable anchor under hip arthroscopy compared with conventional non-intervention.Methods:Retrospective cohort study was adopted. There were 24 Femoroacetabular Impingment (FAI) patients with acetabular cartilage delamination (ACD) receiving hip arthroscopy surgery in Peking University Third Hospital from May 2021 to August 2021. There were 14 males and 10 females with an average age of 36.3±7.2 years (range 23-53 years). There were 12 patients receiving acetabular cartilage repair with absorbable anchor (absorbable anchor group), and 12 patients in non-intervention group. The X-ray film indicators, α angle, lateral center edge angle (LCEA) and MRI measurement (acetabular cartilage gap, CG) were compared between the two groups. The pre- and post-operative hip functions were assessed by modified Harris Hip Score (mHHS), 12-item international hip outcome tool (iHOT12), hip outcome score-activities of daily living subscale (HOS-ADL), and hip outcome score-sports subscale (HOS-SS), along with visual analogue scale (VAS). The complications (infection, lower extremity deep venous thrombosis) were followed up, as well as the revisional hip arthroscopy surgery and total hip replacement surgery.Results:A total of 24 patients were followed up for 12.0±1.2 months (range 10-14 months). There was no significant difference between the two groups for age, BMI, and symptom onset time ( P>0.05). There was no significant difference between the two groups for the pre-operative α angle, LCEA, CG, mHHS, iHOT12, HOS-ADL, HOS-SS, and VAS scores ( P>0.05). At the last follow-up, there was no significant difference between the two groups for the α angle, LCEA, CG, mHHS, iHOT12, HOS-ADL, HOS-SS, VAS and satisfaction ( P>0.05). In the absorbable anchor group, the α angle was 47.2°±2.6° vs. 63.4°±3.3°, CG was 3.0±0.7 mm vs. 3.3±0.6 mm; mHHS was 73.6±16.0 vs. 57.7±15.4; iHOT12 was 67.6±22.5 vs. 50.6±15.0 after and before the surgery, with significant improvement ( P<0.05). As for the non-intervention group, there was significant decrease of post-operative α angle of 47.4°±2.6° compared to the pre-operative angle of 58.4°±8.1° ( P<0.05). There was no significant difference in LCEA, CG, mHHS, iHOT12, HOS-ADL, HOS-SS, and VAS scores before and after the surgery in non-intervention group comparison ( P>0.05). No complications, revision hip arthroscopy surgery or total hip replacement surgery occurred during the follow up. Conclusion:Good effect was yielded for absorbable anchor repairing acetabular cartilage delamination under hip arthroscopy, without additional risk of complications or revision surgery.