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1دورية أكاديمية
المؤلفون: Bassey Enodien, Stephanie Taha-Mehlitz, Baraa Saad, Maya Nasser, Daniel M. Frey, Anas Taha
المصدر: Frontiers in Surgery, Vol 10 (2023)
مصطلحات موضوعية: machine learning, weight loss surgery, bariatric surgery, ML algorithms, systematic scoping review, Surgery, RD1-811
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Bassey Enodien, Stephanie Taha-Mehlitz, Baraa Saad, Maya Nasser, Daniel M. Frey, Anas Taha
المصدر: Frontiers in Surgery, Vol 10 (2023)
مصطلحات موضوعية: machine learning, weight loss surgery, bariatric sugery, ML algorithms, systematic scoping review, Surgery, RD1-811
الوصف: BackgroundMachine learning (ML), is an approach to data analysis that makes the process of analytical model building automatic. The significance of ML stems from its potential to evaluate big data and achieve quicker and more accurate outcomes. ML has recently witnessed increased adoption in the medical domain. Bariatric surgery, otherwise referred to as weight loss surgery, reflects the series of procedures performed on people demonstrating obesity. This systematic scoping review aims to explore the development of ML in bariatric surgery.MethodsThe study used the Preferred Reporting Items for Systematic and Meta-analyses for Scoping Review (PRISMA-ScR). A comprehensive literature search was performed of several databases including PubMed, Cochrane, and IEEE, and search engines namely Google Scholar. Eligible studies included journals published from 2016 to the current date. The PRESS checklist was used to evaluate the consistency demonstrated during the process.ResultsA total of seventeen articles qualified for inclusion in the study. Out of the included studies, sixteen concentrated on the role of ML algorithms in prediction, while one addressed ML's diagnostic capacity. Most articles (n = 15) were journal publications, whereas the rest (n = 2) were papers from conference proceedings. Most included reports were from the United States (n = 6). Most studies addressed neural networks, with convolutional neural networks as the most prevalent. Also, the data type used in most articles (n = 13) was derived from hospital databases, with very few articles (n = 4) collecting original data via observation.ConclusionsThis study indicates that ML has numerous benefits in bariatric surgery, however its current application is limited. The evidence suggests that bariatric surgeons can benefit from ML algorithms since they will facilitate the prediction and evaluation of patient outcomes. Also, ML approaches to enhance work processes by making data categorization and analysis easier. However, further large multicenter studies are required to validate results internally and externally as well as explore and address limitations of ML application in bariatric surgery.
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Anas Taha, Stephanie Taha-Mehlitz, Vincent Ochs, Bassey Enodien, Michael D. Honaker, Daniel M. Frey, Philippe C. Cattin
المصدر: Frontiers in Surgery, Vol 9 (2022)
مصطلحات موضوعية: cost prediction, colon surgery, machine learning, colon surgery cost, anastomotic insufficiency, Surgery, RD1-811
الوصف: Hospitals are burdened with predicting, calculating, and managing various cost-affecting parameters regarding patients and their treatments. Accuracy in cost prediction is further affected when a patient suffers from other health issues that hinder the traditional prognosis. This can lead to an unavoidable deficit in the final revenue of medical centers. This study aims to determine whether machine learning (ML) algorithms can predict cost factors based on patients undergoing colon surgery. For the forecasting, multiple predictors will be taken into the model to provide a tool that can be helpful for hospitals to manage their costs, ultimately leading to operating more cost-efficiently. This proof of principle will lay the groundwork for an efficient ML-based prediction tool based on multicenter data from a range of international centers in the subsequent phases of the study. With a mean absolute percentage error result of 18%–25.6%, our model's prediction showed decent results in forecasting the costs regarding various diagnosed factors and surgical approaches. There is an urgent need for further studies on predicting cost factors, especially for cases with anastomotic leakage, to minimize unnecessary hospital costs.
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Anas Taha, Bassey Enodien, Daniel M. Frey, Stephanie Taha-Mehlitz
المصدر: Frontiers in Surgery, Vol 9 (2022)
مصطلحات موضوعية: scoping review, ventral hernia, artificial intelligence, inguinal hernia, incisional hernia, Surgery, RD1-811
الوصف: BackgroundArtificial intelligence simulates human intelligence in machines that have undergone programming to make them think like human beings and imitate their activities. Artificial intelligence has dominated the medical sector to perform various patient diagnosis activities and improve communication between professionals and patients. The main goal of this study is to perform a scoping review to evaluate the development of artificial intelligence in all forms of hernia surgery except the diaphragm and upside-down hernia.MethodsThe study used the Preferred Reporting Items for Systematic and Meta-analyses for Scoping Review (PRISMA-ScR) to guide the structuring of the manuscript and fulfill all the requirements of every subheading. The sources used to gather data are the PubMed, Cochrane, and EMBASE databases, IEEE and Google and Google Scholar search engines. AMSTAR tool is the most appropriate for assessing the methodological quality of the included studies.ResultsThe study exclusively included twenty articles, whereby seven focused on artificial intelligence in inguinal hernia surgery, six focused on abdominal hernia surgery, five on incisional hernia surgery, and two on AI in medical imaging and robotics in hernia surgery.ConclusionThe outcomes of this study reveal a significant literature gap on artificial intelligence in hernia surgery. The results also indicate that studies focus on inguinal hernia surgery more than any other types of hernia surgery since the articles addressing the topic are more. The study implies that more research is necessary for the field to develop and enjoy the benefits associated with AI. Thus, this situation will allow the integration of AI in activities like medical imaging and surgeon training.
وصف الملف: electronic resource
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5دورية أكاديمية
المصدر: Frontiers in Public Health, Vol 10 (2022)
مصطلحات موضوعية: healthcare jobs, COVID-19 pandemic, economic market, scoping review, jobs, Public aspects of medicine, RA1-1270
الوصف: BackgroundThe COVID-19 pandemic commenced in China and has caused the death of numerous people globally. Despite the adverse effects, the outbreak has created room for job opportunities in healthcare, particularly the pharmaceutical domain. The main goal of this study is to examine how the current pandemic has triggered job creation in the healthcare domain and created a new economic market.MethodsThe study used the Preferred Reporting Items for Systematic and Meta-analyses for Scoping Review (PRISMA-ScR) to structure the manuscript and the subheadings to use. The source used to gather data is the PubMed database.ResultsThe study exclusively included fourteen articles, five of which focused on the pharmaceutical sector, three focused on vaccine sales, three on vaccination centers, and three on testing centers.ConclusionThe COVID-19 pandemic has created job opportunities in the healthcare sector. Most jobs are in the pharmaceutical sector, vaccination, and testing centers. However, more comprehensive research on the topic is necessary to gather conclusive outcomes on whether these jobs will be relevant after the pandemic.
وصف الملف: electronic resource
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6دورية أكاديمية
المؤلفون: Anas Taha, Vincent Ochs, Leos N. Kayhan, Bassey Enodien, Daniel M. Frey, Lukas Krähenbühl, Stephanie Taha-Mehlitz
المصدر: Medicina, Vol 58, Iss 4, p 459 (2022)
مصطلحات موضوعية: artificial intelligence, liver diseases, surgeries, diagnosis, Medicine (General), R5-920
الوصف: Background and Objectives: The advancement of artificial intelligence (AI) based technologies in medicine is progressing rapidly, but the majority of its real-world applications has not been implemented. The establishment of an accurate diagnosis with treatment has now transitioned into an artificial intelligence era, which has continued to provide an amplified understanding of liver cancer as a disease and helped to proceed better with the method of procurement. This article focuses on reviewing the AI in liver-associated diseases and surgical procedures, highlighting its development, use, and related counterparts. Materials and Methods: We searched for articles regarding AI in liver-related ailments and surgery, using the keywords (mentioned below) on PubMed, Google Scholar, Scopus, MEDLINE, and Cochrane Library. Choosing only the common studies suggested by these libraries, we segregated the matter based on disease. Finally, we compiled the essence of these articles under the various sub-headings. Results: After thorough review of articles, it was observed that there was a surge in the occurrence of liver-related surgeries, diagnoses, and treatments. Parallelly, advanced computer technologies governed by AI continue to prove their efficacy in the accurate screening, analysis, prediction, treatment, and recuperation of liver-related cases. Conclusions: The continual developments and high-order precision of AI is expanding its roots in all directions of applications. Despite being novel and lacking research, AI has shown its intrinsic worth for procedures in liver surgery while providing enhanced healing opportunities and personalized treatment for liver surgery patients.
وصف الملف: electronic resource
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7دورية أكاديمية
المؤلفون: Anas Taha, Bassey Enodien, Daniel M. Frey, Stephanie Taha-Mehlitz
المصدر: Diseases, Vol 10, Iss 1, p 7 (2022)
مصطلحات موضوعية: thyroglossal duct cyst, review, Medicine
الوصف: A thyroglossal duct cyst (TGDC) is one of the most commonly encountered congenital anomalies of the neck. However, it is difficult to diagnose as differentiating it from other cysts like brachial cysts, lymphangiomas, epidermoid cysts, dermoid cysts, and hydatid cysts, is challenging. In this paper, we systematically reviewed the literature of 47 patients—25 males (53.1%) and 21 females (44.7%)—about their TGDC to assess the clinical picture, therapy, and prognosis of the disease. Most of the patients were children under the age of ten (63.8%). All patients had a history of a painless swelling in the anterior midline of the neck that moved in response to deglutition and tongue protrusion, thus interfering with their daily activity. Post-resection recurrence was unusual, with only 3 of 47 patients (6.4%) experiencing recurrence.
وصف الملف: electronic resource
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8دورية أكاديمية
المؤلفون: Marta Bachmann, Stephanie Taha-Mehlitz, Vincent Ochs, Daniel. M. Frey, Bassey Enodien, Urs Eriksson, Anas Taha
المصدر: Healthcare, Vol 9, Iss 12, p 1633 (2021)
مصطلحات موضوعية: investment, real estate, health system, Europe, USA, Medicine
الوصف: Background: This study aimed to compare property development and increasing investment in real estate by the healthcare system organizations in the USA and Europe. Real estate investments have upsurged in healthcare due to the multiple benefits to patients and medical practitioners. Methods: The approach of acquiring data was through secondary sources and online questionnaires. The researchers applied inclusion and exclusion criteria by exclusively including the articles published after 2014 to ensure the validity and reliability of the information. Results: A total of 53.33% of the articles reviewed focused on the United States, while 46.67% concentrated on Europe. The development of real estate in healthcare is essential in both regions due to the challenges faced with the current infrastructure. Study Limitation: Currently, there are very few studies concentrating on the research topic. Conclusions: The USA and Europe should focus on increasing real estate investments in healthcare by focusing on hospitals and trusts, rehabilitation centers, and nursing homes.
وصف الملف: electronic resource
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9
المصدر: Proceedings of the National Academy of Sciences of the United States of America. 119(38)
مصطلحات موضوعية: Electron Transport, Electron Transport Complex IV, Oxygen, Water, Protons, Aerobiosis
الوصف: Aerobic life is powered by membrane-bound enzymes that catalyze the transfer of electrons to oxygen and protons across a biological membrane. Cytochrome
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::fac0932b29e39460bcbadd6ba6795b77
https://pubmed.ncbi.nlm.nih.gov/36095184 -
10
المؤلفون: Bassey Enodien, Dana Hendie, Tobias Müller, Stephanie Taha-Mehlitz, Daniel M Frey, Anas Taha
المصدر: Cureus.
مصطلحات موضوعية: General Engineering
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