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| 1 | Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology显示文摘Artificial intelligence(AI)is an umbrella term used to describe a cluster of interrelated fields.Machine learning(ML)refers to a model that learns from past data to predict future data.Medicine and particularly gastroenterology and hepatology,are data-rich fields with extensive data repositories,and therefore fruitful ground for AI/ML-based software applications.In this study,we comprehensively review the current applications of AI/ML-based models in these fields and the opportunities that arise from their application.Specifically,we refer to the applications of AI/ML-based models in prevention,diagnosis,management,and prognosis of gastrointestinal bleeding,inflammatory bowel diseases,gastrointestinal premalignant and malignant lesions,other nonmalignant gastrointestinal lesions and diseases,hepatitis B and C infection,chronic liver diseases,hepatocellular carcinoma,cholangiocarcinoma,and primary sclerosing cholangitis.At the same time,we identify the major challenges that restrain the widespread use of these models in healthcare in an effort to explore ways to overcome them.Notably,we elaborate on the concerns regarding intrinsic biases,data protection,cybersecurity,intellectual property,liability,ethical challenges,and transparency.Even at a slower pace than anticipated,AI is infiltrating the healthcare industry.AI in healthcare will become a reality,and every physician will have to engage with it by necessity. | Chrysanthos D Christou Georgios Tsoulfas | 2021 | World Journal of Gastroenterology2021，27，37： | 5 |
| 2 | Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma:Challenges and opportunities显示文摘Hepatocellular carcinoma(HCC)constitutes the fifth most frequent malignancy worldwide and the third most frequent cause of cancer-related deaths.Currently,treatment selection is based on the stage of the disease.Emerging fields such as three-dimensional(3D)printing,3D bioprinting,artificial intelligence(AI),and machine learning(ML)could lead to evidence-based,individualized management of HCC.In this review,we comprehensively report the current applications of 3D printing,3D bioprinting,and AI/ML-based models in HCC management;we outline the significant challenges to the broad use of these novel technologies in the clinical setting with the goal of identifying means to overcome them,and finally,we discuss the opportunities that arise from these applications.Notably,regarding 3D printing and bioprinting-related challenges,we elaborate on cost and cost-effectiveness,cell sourcing,cell viability,safety,accessibility,regulation,and legal and ethical concerns.Similarly,regarding AI/ML-related challenges,we elaborate on intellectual property,liability,intrinsic biases,data protection,cybersecurity,ethical challenges,and transparency.Our findings show that AI and 3D printing applications in HCC management and healthcare,in general,are steadily expanding;thus,these technologies will be integrated into the clinical setting sooner or later.Therefore,we believe that physicians need to become familiar with these technologies and prepare to engage with them constructively. | Chrysanthos D Christou Georgios Tsoulfas | 2022 | World Journal of Gastrointestinal Oncology2022，14，4： | 2 |
| 3 | Are cus- tomer more likely to contribute online reviews for hit or niche products? 显示文摘 | CHRYSANTHOS D GAO G D RITU N | 2010 | Journal of Management Informa- tion System2010，27，2： | 1 |
| 4 | Challenges involved in the application of artificial intelligence in gastroenterology:The race is on!显示文摘Gastroenterology is a particularly data-rich field,generating vast repositories of data that are a fruitful ground for artificial intelligence(AI)and machine learning(ML)applications.In this opinion review,we initially elaborate on the current status of the application of AI/ML-based software in gastroenterology.Currently,AI/ML-based models have been developed in the following applications:Models integrated into the clinical setting following real-time patient data flagging patients at high risk for developing a gastrointestinal disease,models employing non-invasive parameters that provide accurate diagnoses aiming to either replace,minimize,or refine the indications of endoscopy,models utilizing genomic data to diagnose various gastrointestinal diseases,computer-aided diagnosis systems facilitating the interpretation of endoscopy images,models to facilitate treatment allocation and predict the response to treatment,and finally,models in prognosis predicting complications,recurrence following treatment,and overall survival.Then,we elaborate on several challenges and how they may negatively impact the widespread application of AI in healthcare and gastroenterology.Specifically,we elaborate on concerns regarding accuracy,cost-effectiveness,cybersecurity,interpretability,oversight,and liability.While AI is unlikely to replace physicians,it will transform the skillset demanded by future physicians to practice.Thus,physicians are expected to engage with AI to avoid becoming obsolete. | Chrysanthos D Christou Georgios Tsoulfas | 2023 | World Journal of Gastroenterology2023，29，48： | 0 |
| 5 | Short vs long-course antibiotic therapy in adults with acute cholangitis:A systematic review,meta-analysis,and evidence quality assessment显示文摘BACKGROUND Acute cholangitis(AC)constitutes an infection with increased mortality rates in the past.Due to new diagnostic tools and therapeutic methods,the mortality of AC has been significantly reduced nowadays.The initial antibiotic treatment of AC has been oriented to the most common pathogens connected to this infection.However,the optimal duration of the antibiotic treatment of AC is still debatable.AIM To investigate if shorter-course antibiotic treatments could be similarly effective to long-course treatments in adults with AC.METHODS This study constitutes a systematic review and meta-analysis of the existing literature concerning the duration of antibiotic therapy of AC and an assessment of the quality of the evidence.The study was conducted in accordance with the recommendations of the Preferred Reporting Items for Systematic Review and Meta-Analyses.Fifteen studies were included in the systematic review,and eight were eligible for meta-analysis.Due to heterogeneous duration cutoffs,three study-analysis groups were formed,with a cutoff of 2-3,6-7,and 14 d.RESULTS A total of 2763 patients were included in the systematic review,and 1313 were accounted for the meta-analysis.The mean age was 73.66±14.67 years,and the male and female ratio was 1:08.No significant differences were observed in the mortality rates of antibiotic treatment of 2-3 d,compared to longer treatments(odds ratio=0.78,95% confidence interval:0.23-2.67,I2=9%)and the recurrence rates and hospitalization length were also not different in all study groups.CONCLUSION Short-and long-course antibiotic treatments may be similarly effective concerning the mortality and recurrence rates of AC.Safe conclusions cannot be extracted concerning the hospitalization duration. | Karampet Kasparian Chrysanthos D Christou Konstantinos Petidis Michail Doumas Olga Giouleme | 2023 | World Journal of Gastroenterology2023，29，19： | 0 |
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