In recent years,Artificial Intelligence(AI)has revolutionized people’s lives.AI has long made breakthrough progress in the field of surgery.However,the research on the application of AI in orthopedics is still in the...In recent years,Artificial Intelligence(AI)has revolutionized people’s lives.AI has long made breakthrough progress in the field of surgery.However,the research on the application of AI in orthopedics is still in the exploratory stage.The paper first introduces the background of AI and orthopedic diseases,addresses the shortcomings of traditional methods in the detection of fractures and orthopedic diseases,draws out the advantages of deep learning and machine learning in image detection,and reviews the latest results of deep learning and machine learning applied to orthopedic image detection in recent years,describing the contributions,strengths and weaknesses,and the direction of the future improvements that can be made in each study.Next,the paper also introduces the difficulties of traditional orthopedic surgery and the roles played by AI in preoperative,intraoperative,and postoperative orthopedic surgery,scientifically discussing the advantages and prospects of AI in orthopedic surgery.Finally,the article discusses the limitations of current research and technology in clinical applications,proposes solutions to the problems,and summarizes and outlines possible future research directions.The main objective of this review is to inform future research and development of AI in orthopedics.展开更多
Objective In the last years,robotic surgery was introduced in several different settings with good perioperative results.However,its role in the management of adrenal masses is still debated.In order to provide a cont...Objective In the last years,robotic surgery was introduced in several different settings with good perioperative results.However,its role in the management of adrenal masses is still debated.In order to provide a contribution to this field,we described our step-by-step technique for robotic adrenalectomy(RA)and related modifications according to the type of adrenal mass treated.Methods We retrospectively analyzed 27 consecutive patients who underwent RA at Onze-Lieve-Vrouw hospital(Aalst,Belgium)between January 2009 and October 2022.Demographic,intra-and post-operative,and pathological data were retrieved from our prospectively maintained institutional database.Continuous variables are summarized as median and interquartile range(IQR).Categorical variables are reported as frequencies(percentages).Results Twenty-seven patients underwent RA were included in the study.Median age,body mass index,and Charlson's comorbidity index were 61(IQR:49-71)years,26(IQR:24-29)kg/m^(2),and 2(IQR:0-3),respectively,and 16(59.3%)patients were male.Median tumor size at computed tomography scan was 6.0(IQR:3.5-8.0)cm.Median operative time and blood loss were 105(IQR:82-120)min and 175(IQR:94-250)mL,respectively.No intraoperative complications were recorded.Overall postoperative complications rate was 11.1%,with a postoperative transfusion rate of 3.7%.A total of 10(37.0%)patients harbored malignant adrenal masses.Among them,3(11.1%)had adrenocortical carcinoma,6(22.2%)secondary metastasis,and 1(3.7%)malignant pheochromocytoma on final pathological exam.Only 1(10.0%)patient had positive surgical margins.Conclusion We described our step-by-step technique for RA,which can be safely performed even in case of high challenging settings as malignant tumors,pheochromocytoma,and large masses.The standardization of perioperative protocol should be encouraged to maximize the outcomes of this complex surgical procedure.展开更多
基金This work was supported in part by the National Natural Science Foundation of China under Grants 61861007 and 61640014in part by theGuizhou Province Science and Technology Planning Project ZK[2021]303+2 种基金in part by the Guizhou Province Science Technology Support Plan under Grants[2022]017,[2023]096 and[2022]264in part by the Guizhou Education Department Innovation Group Project under Grant KY[2021]012in part by the Talent Introduction Project of Guizhou University(2014)-08.
文摘In recent years,Artificial Intelligence(AI)has revolutionized people’s lives.AI has long made breakthrough progress in the field of surgery.However,the research on the application of AI in orthopedics is still in the exploratory stage.The paper first introduces the background of AI and orthopedic diseases,addresses the shortcomings of traditional methods in the detection of fractures and orthopedic diseases,draws out the advantages of deep learning and machine learning in image detection,and reviews the latest results of deep learning and machine learning applied to orthopedic image detection in recent years,describing the contributions,strengths and weaknesses,and the direction of the future improvements that can be made in each study.Next,the paper also introduces the difficulties of traditional orthopedic surgery and the roles played by AI in preoperative,intraoperative,and postoperative orthopedic surgery,scientifically discussing the advantages and prospects of AI in orthopedic surgery.Finally,the article discusses the limitations of current research and technology in clinical applications,proposes solutions to the problems,and summarizes and outlines possible future research directions.The main objective of this review is to inform future research and development of AI in orthopedics.
文摘Objective In the last years,robotic surgery was introduced in several different settings with good perioperative results.However,its role in the management of adrenal masses is still debated.In order to provide a contribution to this field,we described our step-by-step technique for robotic adrenalectomy(RA)and related modifications according to the type of adrenal mass treated.Methods We retrospectively analyzed 27 consecutive patients who underwent RA at Onze-Lieve-Vrouw hospital(Aalst,Belgium)between January 2009 and October 2022.Demographic,intra-and post-operative,and pathological data were retrieved from our prospectively maintained institutional database.Continuous variables are summarized as median and interquartile range(IQR).Categorical variables are reported as frequencies(percentages).Results Twenty-seven patients underwent RA were included in the study.Median age,body mass index,and Charlson's comorbidity index were 61(IQR:49-71)years,26(IQR:24-29)kg/m^(2),and 2(IQR:0-3),respectively,and 16(59.3%)patients were male.Median tumor size at computed tomography scan was 6.0(IQR:3.5-8.0)cm.Median operative time and blood loss were 105(IQR:82-120)min and 175(IQR:94-250)mL,respectively.No intraoperative complications were recorded.Overall postoperative complications rate was 11.1%,with a postoperative transfusion rate of 3.7%.A total of 10(37.0%)patients harbored malignant adrenal masses.Among them,3(11.1%)had adrenocortical carcinoma,6(22.2%)secondary metastasis,and 1(3.7%)malignant pheochromocytoma on final pathological exam.Only 1(10.0%)patient had positive surgical margins.Conclusion We described our step-by-step technique for RA,which can be safely performed even in case of high challenging settings as malignant tumors,pheochromocytoma,and large masses.The standardization of perioperative protocol should be encouraged to maximize the outcomes of this complex surgical procedure.
