This editorial presents an analysis of an article recently published in the World Journal of Clinical Cases.Kawasaki disease(KD)is a well-known pediatric vasculitis characterized by fever,rash,conjunctivitis,oral muco...This editorial presents an analysis of an article recently published in the World Journal of Clinical Cases.Kawasaki disease(KD)is a well-known pediatric vasculitis characterized by fever,rash,conjunctivitis,oral mucosal changes,and swelling of the extremities.This editorial aims to delve into the intricate relationship between KD and abdominal pain,drawing insights from recent research findings to provide a comprehensive understanding and potential avenues for future investigation.展开更多
This editorial provides commentary on an article titled"Potential and limitationsof ChatGPT and generative artificial intelligence(AI)in medical safety education"recently published in the World Journal of Cl...This editorial provides commentary on an article titled"Potential and limitationsof ChatGPT and generative artificial intelligence(AI)in medical safety education"recently published in the World Journal of Clinical Cases.AI has enormous potentialfor various applications in the field of Kawasaki disease(KD).One is machinelearning(ML)to assist in the diagnosis of KD,and clinical prediction models havebeen constructed worldwide using ML;the second is using a gene signalcalculation toolbox to identify KD,which can be used to monitor key clinicalfeatures and laboratory parameters of disease severity;and the third is using deeplearning(DL)to assist in cardiac ultrasound detection.The performance of the DLalgorithm is similar to that of experienced cardiac experts in detecting coronaryartery lesions to promoting the diagnosis of KD.To effectively utilize AI in thediagnosis and treatment process of KD,it is crucial to improve the accuracy of AIdecision-making using more medical data,while addressing issues related topatient personal information protection and AI decision-making responsibility.AIprogress is expected to provide patients with accurate and effective medicalservices that will positively impact the diagnosis and treatment of KD in thefuture.展开更多
Childhood obesity is a critical global health concern with rising prevalence and significant long-term health implications.Recent studies have implicated gut microbiota in the development and progression of obesity.Th...Childhood obesity is a critical global health concern with rising prevalence and significant long-term health implications.Recent studies have implicated gut microbiota in the development and progression of obesity.This editorial analyzes the research conducted by Li et al,who utilized 16S rRNA gene sequencing to compare the gut microbiome of overweight and healthy-weight children.The study found significant differences in microbial diversity and composition between the two groups,with potential implications for understanding and managing childhood obesity.We analyzed the study’s advantages and drawbacks,proposing potential areas for future research to better understand the connection between gut microbiota and obesity.展开更多
Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD pat...Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD patients can experience long-term cardiovascular issues,as evidenced by a recent case report of an adult who suffered a ST-segment elevation myocardial infarction due to previous KD in the World Journal of Clinical Cases.This editorial emphasizes the critical need for long-term management and regular surveillance to prevent such complications.By drawing on recent research and case studies,we advocate for a structured approach to follow-up care that includes routine cardiac evaluations and preventive measures.展开更多
Recent findings by Yamashita et al report a Kawasaki disease(KD)case with normal biomarker levels,challenging traditional diagnostic paradigms.This editorial explores the implications of such atypical KD presentations...Recent findings by Yamashita et al report a Kawasaki disease(KD)case with normal biomarker levels,challenging traditional diagnostic paradigms.This editorial explores the implications of such atypical KD presentations,emphasizing the need for novel biomarkers and revised diagnostic guidelines.The case underscores the limitations of current biomarkers,the importance of clinical judgment,and the necessity for comprehensive research to identify new diagnostic tools.Emerging technologies in proteomics and genomics offer potential avenues for discovering reliable biomarkers.Revisiting clinical guidelines to incorporate flexibility for atypical presentations is crucial.Ensuring timely and accurate KD diagnosis,even without elevated traditional biomarkers,prevents severe complications.Future advancements should focus on novel biomarkers to improve patient outcomes.展开更多
基金Supported by The Hubei Pediatric Alliance Medical Research Project,No.HPAMRP202117。
文摘This editorial presents an analysis of an article recently published in the World Journal of Clinical Cases.Kawasaki disease(KD)is a well-known pediatric vasculitis characterized by fever,rash,conjunctivitis,oral mucosal changes,and swelling of the extremities.This editorial aims to delve into the intricate relationship between KD and abdominal pain,drawing insights from recent research findings to provide a comprehensive understanding and potential avenues for future investigation.
文摘This editorial provides commentary on an article titled"Potential and limitationsof ChatGPT and generative artificial intelligence(AI)in medical safety education"recently published in the World Journal of Clinical Cases.AI has enormous potentialfor various applications in the field of Kawasaki disease(KD).One is machinelearning(ML)to assist in the diagnosis of KD,and clinical prediction models havebeen constructed worldwide using ML;the second is using a gene signalcalculation toolbox to identify KD,which can be used to monitor key clinicalfeatures and laboratory parameters of disease severity;and the third is using deeplearning(DL)to assist in cardiac ultrasound detection.The performance of the DLalgorithm is similar to that of experienced cardiac experts in detecting coronaryartery lesions to promoting the diagnosis of KD.To effectively utilize AI in thediagnosis and treatment process of KD,it is crucial to improve the accuracy of AIdecision-making using more medical data,while addressing issues related topatient personal information protection and AI decision-making responsibility.AIprogress is expected to provide patients with accurate and effective medicalservices that will positively impact the diagnosis and treatment of KD in thefuture.
基金Supported by The Hubei Pediatric Alliance Medical Research Project,No.HPAMRP202117.
文摘Childhood obesity is a critical global health concern with rising prevalence and significant long-term health implications.Recent studies have implicated gut microbiota in the development and progression of obesity.This editorial analyzes the research conducted by Li et al,who utilized 16S rRNA gene sequencing to compare the gut microbiome of overweight and healthy-weight children.The study found significant differences in microbial diversity and composition between the two groups,with potential implications for understanding and managing childhood obesity.We analyzed the study’s advantages and drawbacks,proposing potential areas for future research to better understand the connection between gut microbiota and obesity.
文摘Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD patients can experience long-term cardiovascular issues,as evidenced by a recent case report of an adult who suffered a ST-segment elevation myocardial infarction due to previous KD in the World Journal of Clinical Cases.This editorial emphasizes the critical need for long-term management and regular surveillance to prevent such complications.By drawing on recent research and case studies,we advocate for a structured approach to follow-up care that includes routine cardiac evaluations and preventive measures.
基金Supported by The Hubei Pediatric Alliance Medical Research Project,No.HPAMRP202117.
文摘Recent findings by Yamashita et al report a Kawasaki disease(KD)case with normal biomarker levels,challenging traditional diagnostic paradigms.This editorial explores the implications of such atypical KD presentations,emphasizing the need for novel biomarkers and revised diagnostic guidelines.The case underscores the limitations of current biomarkers,the importance of clinical judgment,and the necessity for comprehensive research to identify new diagnostic tools.Emerging technologies in proteomics and genomics offer potential avenues for discovering reliable biomarkers.Revisiting clinical guidelines to incorporate flexibility for atypical presentations is crucial.Ensuring timely and accurate KD diagnosis,even without elevated traditional biomarkers,prevents severe complications.Future advancements should focus on novel biomarkers to improve patient outcomes.