Artificial intelligence surgery最新文献_第2页

The current use of artificial intelligence in testicular cancer: a systematic review 目前人工智能在睾丸癌中的应用:系统综述

Artificial intelligence surgery Pub Date : 2023-10-17 DOI: 10.20517/ais.2023.26

Yanjinlkham Chuluunbaatar, Saakshi Bansal, Andrew Brodie, Anand Sharma, Nikhil Vasdev

引用次数: 0

AI in colonoscopy - detection and characterisation of malignant polyps 人工智能在结肠镜检查中的应用——恶性息肉的检测和特征

Artificial intelligence surgery Pub Date : 2023-09-21 DOI: 10.20517/ais.2023.17

Taner Shakir, Rawen Kader, Chetan Bhan, Manish Chand

{"title":"AI in colonoscopy - detection and characterisation of malignant polyps","authors":"Taner Shakir, Rawen Kader, Chetan Bhan, Manish Chand","doi":"10.20517/ais.2023.17","DOIUrl":"https://doi.org/10.20517/ais.2023.17","url":null,"abstract":"The medical technological revolution has transformed the nature with which we deliver care. Adjuncts such as artificial intelligence and machine learning have underpinned this. The applications to the field of endoscopy are numerous. Malignant polyps represent a significant diagnostic dilemma as they lie in an area in which mischaracterisation may mean the difference between an endoscopic procedure and a formal bowel resection. This has implications for patients’ oncological outcomes, morbidity and mortality, especially if post-procedure histopathology upstages disease. We have made significant strides with the applications of artificial intelligence to colonoscopic detection. Deep learning algorithms are able to be created from video and image databases. These have been applied to traditional, human-derived, classification methods, such as Paris or Kudo, with up to 93% accuracy. Furthermore, multimodal characterisation systems have been developed, which also factor in patient demographics and colonic location to provide an estimation of invasion and endoscopic resectability with over 90% accuracy. Although the technology is still evolving, and the lack of high-quality randomised controlled trials limits clinical usability, there is an exciting horizon upon us for artificial intelligence-augmented endoscopy.","PeriodicalId":72305,"journal":{"name":"Artificial intelligence surgery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136129668","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}

引用次数: 0

Surgomics and the Artificial intelligence, Radiomics, Genomics, Oncopathomics and Surgomics (AiRGOS) Project 外科组学和人工智能、放射组学、基因组学、肿瘤病理学和外科组学(AiRGOS)项目

Artificial intelligence surgery Pub Date : 2023-09-19 DOI: 10.20517/ais.2023.24

Andrew A. Gumbs, Roland Croner, Mohammed Abu-Hilal, Elisa Bannone, Takeaki Ishizawa, Gaya Spolverato, Isabella Frigerio, Ajith Siriwardena, Nouredin Messaoudi

{"title":"Surgomics and the Artificial intelligence, Radiomics, Genomics, Oncopathomics and Surgomics (AiRGOS) Project","authors":"Andrew A. Gumbs, Roland Croner, Mohammed Abu-Hilal, Elisa Bannone, Takeaki Ishizawa, Gaya Spolverato, Isabella Frigerio, Ajith Siriwardena, Nouredin Messaoudi","doi":"10.20517/ais.2023.24","DOIUrl":"https://doi.org/10.20517/ais.2023.24","url":null,"abstract":"The journal Artificial Intelligence Surgery was established to explore the integration of Artificial Intelligence (AI) in surgery. It originated from the desire to understand the potential of true robotic surgery, as existing robotic systems are tele-manipulators rather than autonomous robots. AI’s role in surgery involves levels of autonomy and a balance between human expertise and technological advancements. In this regard, a new field of Surgiomics emerges, integrating patient data such as genomics, radiomics, and pathomics to enhance surgical decision-making. Overcoming limitations in surgical data analysis, AI processes vast amounts of data, detects subtle patterns, and explores complex relationships. As Surgiomics continues to evolve, it holds the potential to reshape surgical patient management. Initiatives like the Artificial intelligence, Radiomics, Genomics, Oncopathomics and Surgomics (AiRGOS) Project aim to develop AI algorithms for precision therapeutic treatments in cancer patients using radiologic imaging, genomic sequencing, and clinical data. In this commentary, we envision a future where AI technologies revolutionize surgical decision-making and create personalized treatment plans based on comprehensive patient data.","PeriodicalId":72305,"journal":{"name":"Artificial intelligence surgery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135010919","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}

引用次数: 0

The role of radiomics in hepato-bilio-pancreatic surgery: a literature review 放射组学在肝胆胰手术中的作用:文献综述

Artificial intelligence surgery Pub Date : 2023-09-11 DOI: 10.20517/ais.2023.18

Riccardo De Robertis, Marco Todesco, Daniele Autelitano, Flavio Spoto, Mirko D’Onofrio

引用次数: 0

“Bon mariage” of artificial intelligence and intraoperative fluorescence imaging for safer surgery 人工智能与术中荧光成像“联姻”，手术更安全

Artificial intelligence surgery Pub Date : 2023-08-16 DOI: 10.20517/ais.2023.25

T. Ishizawa

引用次数: 0

The 19th annual meeting of Egyptian Society of Laparoscopic Surgeons (ESLS) congress report 第19届埃及腹腔镜外科医师学会(ESLS)年会报告

Artificial intelligence surgery Pub Date : 2023-01-01 DOI: 10.20517/ais.2023.11

H. Taher, Faheem Bassiony, H. Shaker

引用次数: 0

Role of artificial intelligence in pancreatic cystic neoplasms: modernizing the identification and longitudinal management of pancreatic cysts 人工智能在胰腺囊性肿瘤中的作用:胰腺囊肿的现代化识别和纵向管理

Artificial intelligence surgery Pub Date : 2023-01-01 DOI: 10.20517/ais.2023.13

R. Langan, H. Pitt, E. Schneider

引用次数: 0

Augmenting care in hepatocellular carcinoma with artificial intelligence 人工智能在肝癌护理中的应用

Artificial intelligence surgery Pub Date : 2023-01-01 DOI: 10.20517/ais.2022.33

Flora Wen Xin Xu, Sarah S. Tang, Hann Natalie Soh, N. Pang, G. Bonney

{"title":"Augmenting care in hepatocellular carcinoma with artificial intelligence","authors":"Flora Wen Xin Xu, Sarah S. Tang, Hann Natalie Soh, N. Pang, G. Bonney","doi":"10.20517/ais.2022.33","DOIUrl":"https://doi.org/10.20517/ais.2022.33","url":null,"abstract":"Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death worldwide and prognosis remains poor. The recent paradigm shifts in management algorithms of such patients have resulted in unique challenges in the early identification of HCC, prognosis, surgical outcomes, prioritization of potential transplant recipients, donor-recipient matching, and so on. In recent years, advancements in artificial intelligence (AI) capabilities have shown potential in HCC treatment. In this narrative review, we outline first the different types of AI models that are applied in clinical practice and then focus on the frontiers of AI research in the diagnosis, prognostication, and treatment of HCC, particularly in classification of indeterminate liver lesions, tumor staging, survival prediction, improving equity in transplant recipient selection, prediction of treatment response and prognosis. We show that US coupled with AI-driven predictive models can provide accurate noninvasive screening tools for early disease. While AI models applied to contrast-enhanced CT, MRI and PET studies may appear to have limited clinical utility in disease diagnosis and differentials, owing to their accuracy, we highlighted the importance of such models in predicting pathological findings preoperatively. Despite the availability of many accurate, sensitive, and specific AI algorithms that outperform traditional scoring systems, they have not been widely used in clinical practice. The challenges in AI application, including distributional shift and imbalanced data, lack of standardization, and the ‘black box’ phenomenon, are addressed here. The importance of AI in the future of HCC makes it important for clinicians to have a good understanding of different AI techniques, their benefits, and potential pitfalls.","PeriodicalId":72305,"journal":{"name":"Artificial intelligence surgery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67656464","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}

引用次数: 0

State of the art and new frontiers in robotic mitral valve surgery 机器人二尖瓣手术的最新进展

Artificial intelligence surgery Pub Date : 2023-01-01 DOI: 10.20517/ais.2023.10

A. Amabile, S. Ragnarsson, M. Krane, A. Geirsson

引用次数: 0

Applications of artificial intelligence in benign prostatic hyperplasia 人工智能在良性前列腺增生中的应用

Artificial intelligence surgery Pub Date : 2023-01-01 DOI: 10.20517/ais.2023.07

Saakshi Bansal, Yanjinlkham Chuluunbaatar, A. Brodie, N. Vasdev

引用次数: 0