Aaron R Brenner, P. Laoveeravat, P. J. Carey, Danielle Joiner, Samuel H Mardini, M. Jovani
{"title":"Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future direction","authors":"Aaron R Brenner, P. Laoveeravat, P. J. Carey, Danielle Joiner, Samuel H Mardini, M. Jovani","doi":"10.35712/aig.v3.i3.88","DOIUrl":"https://doi.org/10.35712/aig.v3.i3.88","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124221366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Liver surgery for colorectal metastasis: New paths and new goals with the help of artificial intelligence","authors":"V. Tonini, G. Vigutto, Riccardo Donati","doi":"10.35712/aig.v3.i2.28","DOIUrl":"https://doi.org/10.35712/aig.v3.i2.28","url":null,"abstract":"Introduction: Colorectal cancer is one of the most common neoplasia with an high risk to metastatic spread. Improving medical and surgical treatment is moving along with improving the precision of diagnosis and patient's assessment, the latter two aided more and more with the use of artificial intelligence (AI). Hepatobiliary surgery for colorectal metastasis: The management of colorectal liver metastasis is multidisciplinary, and surgery is the main option. After the diagnosis, a surgical assessment of the patient is fundamental. Reaching a R0 resection with a proper remnant liver volume can be done using new techniques involving also artificial intelligence. Artificial intelligence applied to liver surgery: Considering the recent application of artificial intelligence as a valid substitute for liver biopsy in chronic liver diseases, several authors tried to apply similar techniques to pre-operative imaging of liver metastasis. Radiomics showed good results in identifying structural changes in a unhealthy liver and in evaluating the prognosis after a liver resection. Recently deep learning has been successfully applied in estimating the remnant liver volume before surgery. Moreover AI techniques can help surgeons to perform an early diagnosis of neoplastic relapse or a better differentiation between a colorectal metastasis and a benign lesion. AI could be applied also in the histopathological diagnostic tool. Conclusions: Although AI implementation is still partially automatized, it appears faster and more precise than the usual diagnostic tools and, in the short future, could become the new gold standard in liver surgery.","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114331696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning in endoscopic ultrasonography and the pancreas: The new frontier?","authors":"C. Şimşek, Linda S. Lee","doi":"10.35712/aig.v3.i2.54","DOIUrl":"https://doi.org/10.35712/aig.v3.i2.54","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122984488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence in critically ill diabetic patients: current status and future prospects","authors":"D. Juneja, Anish Gupta, O. Singh","doi":"10.35712/aig.v3.i2.66","DOIUrl":"https://doi.org/10.35712/aig.v3.i2.66","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127305197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Colorectal cancer: Artificial intelligence and its role in surgical decision making","authors":"N. Ghosh, Ashok Kumar","doi":"10.35712/aig.v3.i2.36","DOIUrl":"https://doi.org/10.35712/aig.v3.i2.36","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122557017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence and human liver allocation: Potential benefits and ethical implications","authors":"M. Mucenic, A. B. de Mello Brandão, C. Marroni","doi":"10.35712/aig.v3.i1.21","DOIUrl":"https://doi.org/10.35712/aig.v3.i1.21","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131636767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Current advancements in application of artificial intelligence in clinical decision-making by gastroenterologists in gastrointestinal bleeding","authors":"H. Maulahela, Nagita Gianty Annisa","doi":"10.35712/aig.v3.i1.13","DOIUrl":"https://doi.org/10.35712/aig.v3.i1.13","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121138530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed A. Al-Biltagi, N. Saeed, Samara Qaraghuli
{"title":"Gastrointestinal disorders in children with autism: Could artificial intelligence help?","authors":"Mohammed A. Al-Biltagi, N. Saeed, Samara Qaraghuli","doi":"10.35712/aig.v3.i1.1","DOIUrl":"https://doi.org/10.35712/aig.v3.i1.1","url":null,"abstract":"Autism is one of the pervasive neurodevelopmental disorders usually associated with many medical comorbidities. Gastrointestinal (GI) disorders are pervasive in children, with a 46%-84% prevalence rate. Children with Autism have an increased frequency of diarrhea, nausea and/or vomiting, gastroesophageal reflux and/or disease, abdominal pain, chronic flatulence due to various factors as food allergies, gastrointestinal dysmotility, irritable bowel syndrome (IBS), and inflammatory bowel diseases (IBD). These GI disorders have a significant negative impact on both the child and his/her family. Artificial intelligence (AI) could help diagnose and manage Autism by improving children's communication, social, and emotional skills for a long time. AI is an effective method to enhance early detection of GI disorders, including GI bleeding, gastroesophageal reflux disease, Coeliac disease, food allergies, IBS, IBD, and rectal polyps. AI can also help personalize the diet for children with Autism by microbiome modification. It can help to provide modified gluten without initiating an immune response. However, AI has many obstacles in treating digestive diseases, especially in children with Autism. We need to do more studies and adopt specific algorithms for children with Autism. In this article, we will highlight the role of AI in helping children with gastrointestinal disorders, with particular emphasis on children Al-Biltagi A et al. Gastrointestinal disorders and artificial intelligence in autism AIG https://www.wjgnet.com 2 February 28, 2022 Volume 3 Issue 1 with Autism.","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132113756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence in pathological evaluation of gastrointestinal cancers","authors":"Anıl Alpsoy, A. Yavuz, G. Elpek","doi":"10.35712/aig.v2.i6.141","DOIUrl":"https://doi.org/10.35712/aig.v2.i6.141","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133219546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations","authors":"Sarah El-Nakeep, Mohamed El-Nakeep","doi":"10.35712/aig.v2.i5.124","DOIUrl":"https://doi.org/10.35712/aig.v2.i5.124","url":null,"abstract":"","PeriodicalId":359415,"journal":{"name":"Artificial Intelligence in Gastroenterology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129682062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}