Mesopotamian Journal of Artificial Intelligence in Healthcare最新文献_第2页

An Overview of the Evolution and Impact of Chatbots in Modern Healthcare Services 概述聊天机器人在现代医疗服务中的发展和影响

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-12-05 DOI: 10.58496/mjaih/2023/014

Ankar Tersoo Catherine, S. K. Towfek, Abdelaziz A. Abdelhamid

引用次数: 1

Schizophrenia and the Role of Artificial Intelligence in Detecting and Treating it: Cognitive Frontiers 精神分裂症与人工智能在检测和治疗中的作用：认知前沿

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-11-22 DOI: 10.58496/mjaih/2023/012

Mohanad Ghazi1, Saad Abas Abed1

{"title":"Schizophrenia and the Role of Artificial Intelligence in Detecting and Treating it: Cognitive Frontiers","authors":"Mohanad Ghazi1, Saad Abas Abed1","doi":"10.58496/mjaih/2023/012","DOIUrl":"https://doi.org/10.58496/mjaih/2023/012","url":null,"abstract":"A persistent mental illness that changes thoughts, feelings, behaviour, and communication with people is schizophrenia. Delusions, hallucinations, distorted thinking, lack of motivation, and fear of society are often its hallmarks. Although there is currently no cure for schizophrenia, patients can greatly benefit from early diagnosis and treatment. The field of artificial intelligence (AI) is very promising for the diagnosis and treatment of schizophrenia. Artificial intelligence systems can scan and analyse vast amounts of data, including genetic and hereditary data, brain scans, and medical records, and predict when a person might develop schizophrenia if the factor is hereditary. This can help medical providers act quickly to start treating patients before their symptoms worsen. AI can also help patients with schizophrenia manage and regulate their medications. Artificial intelligence systems can analyse patient data to determine the best medications and dosage amounts while also highlighting any potential side effects of treatment. This can help medical providers customize strategies structure treatment for each patient and enhance treatment outcomes. Considering all the above-mentioned matters, the use of artificial intelligence in diagnosing, analysing, and treating schizophrenia promises to improve patient outcomes and treatment, deepen our knowledge of this complex disease, early detection of the disease, and find appropriate treatment.","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139250514","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 Modern Impact of Artificial Intelligence Systems in Healthcare: A Concise Analysis 人工智能系统在医疗保健领域的现代影响：简明分析

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-11-22 DOI: 10.58496/mjaih/2023/013

Habeeb Omotunde, Mourad R. Mouhamed

{"title":"The Modern Impact of Artificial Intelligence Systems in Healthcare: A Concise Analysis","authors":"Habeeb Omotunde, Mourad R. Mouhamed","doi":"10.58496/mjaih/2023/013","DOIUrl":"https://doi.org/10.58496/mjaih/2023/013","url":null,"abstract":"Artificial intelligence systems are receiving significant attention in the healthcare domain because they have a considerable impact on the development of patients' electronic medical records (EMRs). Artificial intelligence systems have the ability to develop healthcare institutions and assist physicians in making the proper decisions. These systems have the ability to perform diagnosis, provide appropriate treatment, and perform administrative tasks in hospitals. Healthcare institutions seek to integrate hospital systems with computer systems and construct large warehouses to store data and medical records for each patient. These methods allow machine learning and deep learning algorithms to analyse diseases, predict and determine new patterns for diagnosis and grow pharmaceutical applications. Big data is one of the essential things that artificial intelligence seeks to generate and develop algorithms to analyse, extract unique patterns from, and create strategies to deal with. In this article, the matter of integrating artificial intelligence systems in the healthcare domain, growing hospitals, and helping doctors and healthcare workers track patients and improve their health conditions will be analysed. This article is a straightforward description of the essence of artificial intelligence in healthcare.","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"46 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139247070","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

Employing Artificial Intelligence Methods in Drug Development: A New Era in Medicine 在药物开发中采用人工智能方法：医学新时代

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-10-20 DOI: 10.58496/mjaih/2023/010

Omega John Unogwu, Mabel Ike, Opkanachi Omatule Joktan

{"title":"Employing Artificial Intelligence Methods in Drug Development: A New Era in Medicine","authors":"Omega John Unogwu, Mabel Ike, Opkanachi Omatule Joktan","doi":"10.58496/mjaih/2023/010","DOIUrl":"https://doi.org/10.58496/mjaih/2023/010","url":null,"abstract":"Artificial intelligence (AI) plays a vital role in the development of pharmaceuticals. The whole drug development process, from target identification and lead optimization to clinical trials and post-marketing monitoring, has the potential to be revolutionized by AI. Data analysis is a crucial area where AI thrives. To find trends, correlations, and prospective targets for therapeutic intervention, AI systems can analyse enormous volumes of data, including electronic health records, molecular databases, academic literature, and clinical trial data. This saves time and resources by enabling researchers to decide which compounds or pathways to investigate. Lead optimization is another area where AI is essential since algorithms can screen and forecast the efficacy of new drug candidates. To improve efficacy, safety, and pharmacokinetics, the most promising leads are prioritized, and their attributes are optimized. By examining past data to pinpoint patient groupings that are most likely to respond to a certain medication, AI can also improve clinical trial design and patient selection. This advances success rates aids in the development of personalized medication and can support post-marketing surveillance by continuously scanning real-world data for adverse events or unexpected drug-drug interactions after a medicine has been licensed. This permits the quicker detection of potential safety issues and contributes to maintaining the continuous safety of licensed medications. However, some obstacles must be overcome to completely utilize AI in medication development. These include the requirement for high-quality data, assuring AI model transparency and interpretability, taking into account ethical issues, and regulatory frameworks for using AI in drug development.","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"157 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139315922","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

Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review 利用人工智能协助医生诊断医学影像：叙述性综述

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-09-13 DOI: 10.58496/mjaih/2023/009

O. Adelaja, H. Alkattan

{"title":"Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review","authors":"O. Adelaja, H. Alkattan","doi":"10.58496/mjaih/2023/009","DOIUrl":"https://doi.org/10.58496/mjaih/2023/009","url":null,"abstract":"Medical image diagnostics is crucial to healthcare since it aids in the diagnosis and treatment of a variety of diseases and conditions. However, the process is time-consuming and prone to human error. In recent years, artificial intelligence has been a powerful tool for enhancing medical imaging diagnosis. Using AI algorithms for medical picture interpretation has the potential to revolutionise the field by improving accuracy, efficacy, and standardization. These algorithms can quickly sift through enormous amounts of medical imaging, finding anomalies, quantifying features, and providing useful information to help medical professionals make judgments. AI-based systems can be used to track the evolution of diseases, plan treatments, and highlight particular areas of interest in medical pictures. Additionally, AI systems can aid in case triage by classifying cases according to urgency, enabling quick response to life-or-death situations. Healthcare practitioners can gain from increased diagnostic accuracy and efficiency, improved workflow management, and standardized interpretations by utilizing AI in medical imaging diagnostics. However, it's crucial to understand that AI complements human expertise rather than replacing it. To ensure a safe and efficient application in clinical settings as AI technologies continue to evolve and advance, continuing research and collaboration between AI developers and healthcare practitioners is essential. Medical image diagnosis is poised to advance significantly with continued AI integration, ultimately improving patient outcomes and healthcare delivery.","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139340456","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

Artificial Intelligence's Significance in Diseases with Malignant Tumours 人工智能在恶性肿瘤疾病中的意义

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-07-11 DOI: 10.58496/mjaih/2023/007

引用次数: 0

From Analog to Digitization: Rethinking Management and Operations through eHealth Integration in Industry 4.0 从模拟到数字化:通过工业4.0中的电子医疗集成重新思考管理和运营

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-05-15 DOI: 10.58496/mjaih/2023/005

{"title":"From Analog to Digitization: Rethinking Management and Operations through eHealth Integration in Industry 4.0","authors":"","doi":"10.58496/mjaih/2023/005","DOIUrl":"https://doi.org/10.58496/mjaih/2023/005","url":null,"abstract":"Healthcare is considered one of the most critical areas that contribute to the development of the global economy, as it has made significant developments in science and technology. The remarkable development in information technologies and the digital revolution has revolutionized the development of health institutions through the digitization of all medical records and the management of clinical operations. The process of automating medical records is one of the most important processes that are significantly developed in healthcare services. Artificial intelligence technologies contribute to the operation of digitizing medical records through a set of applications that rely on artificial intelligence to help specialists complete work quickly and with high efficiency. These applications are vital in simplifying operational procedures and reducing costs in administrative or clinical contexts. Artificial intelligence contributes to speeding up diagnosis and treatment tasks, improving the quality of health services, and reducing human errors. This paper explores the importance of digitization in healthcare and the role of artificial intelligence in administrative processes. This paper concluded that digitization contributes to developing the environment of health institutions and assisting doctors in diagnosing diseases and tracking patients accurately.","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122876537","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: 1

Predicting Coronary Artery Disease Utilizing Support Vector Machines: Optimizing Predictive Model 利用支持向量机预测冠心病:优化预测模型

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-03-25 DOI: 10.58496/mjaih/2023/004

{"title":"Predicting Coronary Artery Disease Utilizing Support Vector Machines: Optimizing Predictive Model","authors":"","doi":"10.58496/mjaih/2023/004","DOIUrl":"https://doi.org/10.58496/mjaih/2023/004","url":null,"abstract":"In the medical field, specialists aspire through the use of artificial intelligence to obtain accuracy in the results and details of patients. Such as automatic detection and prediction of diseases and obtaining medical results by applying artificial intelligence techniques such as machine learning algorithms to clinical data. Therefore, because coronary artery disease (CAD) is one of the most prevalent types of diseases in the world and with the highest rate of injuries, one of the machine learning algorithms will be used in this research to diagnose this disease through artificial intelligence. Patient clinical factors were used, a data set of 303 people. The Support Vector Machine (SVM) algorithm is used and applied to the clinical factors of patients, which are 56 variables, as they are considered one of the most important clinical factors that can be used to detect CAD. This algorithm is considered to have good predictive ability in medical clinical characteristics. The Support Vector Machine algorithm model, which was used in this research, provided the highest prediction accuracy of (96.7%), with an AUC value of (71.5%). This indicates the effectiveness of the SVM algorithm in classifying the clinical patient data set that was adopted in this research. After applying it to the research data set, the SVM algorithm showed its ability to classify and predict well. The accuracy of the algorithm model was (96.7%). This indicates that this algorithm can help cardiologists in different ways during their daily practices to predict coronary artery disease, which is one of the most common heart diseases.","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129875438","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: 2

Artificial Intelligence Solutions for Health 4.0: Overcoming Challenges and Surveying Applications 健康4.0的人工智能解决方案:克服挑战和测量应用

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-03-10 DOI: 10.58496/mjaih/2023/003

{"title":"Artificial Intelligence Solutions for Health 4.0: Overcoming Challenges and Surveying Applications","authors":"","doi":"10.58496/mjaih/2023/003","DOIUrl":"https://doi.org/10.58496/mjaih/2023/003","url":null,"abstract":"In recent years, the term Health 4.0 has appeared in health services and is related to the concept of Industry 4.0. The term Health 4.0 focuses on replacing traditional care in hospitals and medical clinics with home health services that are based on artificial intelligence techniques through the use of telemedicine applications that allow the monitoring of patients in a virtual environment. This term is utilized to represent digital change in the healthcare sector. Governments aim to develop the level of medical care in hospitals and clinics to ensure the provision of healthcare benefits at low costs and increase patient satisfaction. It has become vital for hospitals to grow their environment into digital environments in their services through the use of a set of computer programs based on artificial intelligence. Artificial intelligence techniques in Health 4.0 provide a set of procedures that benefit patients and healthcare workers, including early diagnosis, make inquiries into treatment, data analysis, reports on the patient's condition, and others. The primary purpose of this article is to determine the significance of Health 4.0 and AI techniques in healthcare by mentioning the most important benefits and weaknesses of using AI techniques in healthcare","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117166872","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: 6

Discussing Artificial Intelligence's Role in Combatting the COVID-19 Pandemic: A Review 讨论人工智能在抗击COVID-19大流行中的作用:综述

Mesopotamian Journal of Artificial Intelligence in Healthcare Pub Date : 2023-02-08 DOI: 10.58496/mjaih/2023/002

{"title":"Discussing Artificial Intelligence's Role in Combatting the COVID-19 Pandemic: A Review","authors":"","doi":"10.58496/mjaih/2023/002","DOIUrl":"https://doi.org/10.58496/mjaih/2023/002","url":null,"abstract":"The COVID-19 pandemic is considered one of the most dangerous diseases that have emerged in recent years, as it began at the end of 2019 in China and quickly spread to become a severe epidemic. This virus has become, in a short period of time, threatening millions of the earth's populations, and infected individuals show symptoms that may lead to the loss of their lives. In this article, the author concentrates on the significance and methods of artificial intelligence strategies in facing COVID-19 and the primary role of these technologies. AI techniques have been applied in various areas, including creating diagnostic tools, predicting disease transmission, identifying new treatments, and improving resource allocation. Moreover, these techniques have been employed to analyze medical images to find symptoms of COVID-19 in patients, speeding up diagnosis and reducing transmission risks. Public health professionals can more efficiently allocate resources thanks to machine learning models that have been trained on data from other pandemics to anticipate the spread of COVID-19 and identify possible outbreaks. Large datasets of currently available medications have also been analyzed using AI to find potential new molecules.","PeriodicalId":424250,"journal":{"name":"Mesopotamian Journal of Artificial Intelligence in Healthcare","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132244349","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