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• ARTIFICIAL INTELLIGENCE IN AUTOMATING PROCESSES IN BUSINESSES
  Artificial Intеlligеncе (AI) is transforming thе landscapе of businеss opеrations through thе automation of procеssеs, еnhancing еfficiеncy, productivity, and accuracy. This articlе еxplorеs thе impact of AI on automating tasks across various industriеs, focus…
  crossref Sobirov Khurshed 2024-12-01T08:14:26Z 置信度 0.70
• Deep Learning‐Based Reduced Order Models for Cardiac Electrophysiology
  The heart is a double pump comprises four chambers: two atria, the left atrium (LA) and the right atrium (RA), and two ventricles, the left ventricle (LV) and the right ventricle (RV), see Figure 6.1.The atrioventricular septum separates the atria from the ven…
  crossref Stefania Fresca, Luca Dedè, Andrea Manzoni 2024-05-25T00:12:12Z 置信度 0.70
• Effective Use of Computational Biology and Artificial Intelligence in the Domain of Medical Oncology
  Computational biology and artificial intelligence (AI) have become indispensable assets in the specialized field of medicine, especially in oncology, fundamentally altering our understanding and management of cancer. This chapter aims to provide insight into h…
  openalex Sameeksha Saraf, Arka De, B. K. Tripathy 2024-05-17 置信度 0.72 Domain (mathematical analysis)Computer scienceComputational biologyMedical physicsBiology
• Artificial intelligence in medical publishing
  Ragnhild Ørstavik er assisterende sjefredaktør i Tidsskriftet
  crossref Ragnhild Ørstavik 2024-10-09T05:00:13Z 置信度 0.70
• Table of Contents
  crossref 2024-07-30T17:50:37Z 置信度 0.70
• 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
  crossref 2024-07-30T17:35:26Z 置信度 0.70
• MediScan: Advanced Medical Imaging Analysis
  MediScan is a web-based application designed for people to get first-hand opinions on their medical scans and stress the importance of seeking professional advice on the basis of the severity of the conditions identified. The application uses datasets that con…
  crossref R Sanjeev Krishna, S Rhethika, Thanikanti Venkata Harshith, Pachila Shyamala 等 2025-01-10T19:44:53Z 置信度 0.70
• Towards quality management of artificial intelligence systems for medical applications
  The use of artificial intelligence systems in clinical routine is still hampered by the necessity of a medical device certification and/or by the difficulty of implementing these systems in a clinic's quality management system. In this context, the key questio…
  openalex Lorenzo Mercolli, Axel Rominger, Kuangyu Shi 2024-02-27 置信度 0.72 Quality (philosophy)Computer scienceArtificial intelligenceEpistemologyPhilosophy
• 2024 3rd International Conference on Artificial Intelligence and Software Engineering (ICAISE)
  crossref 2025-02-19T18:40:32Z 置信度 0.70
• Front Matter
  crossref 2024-03-01T09:14:15Z 置信度 0.70
• Episode 49: RSNA 2024: AI Insights and Key Highlights
  crossref 2024-11-21T14:53:24Z 置信度 0.70
• Index
  crossref 2024-06-28T09:57:57Z 置信度 0.70
• 2024 2nd International Conference on Artificial Intelligence and Power Engineering (AIPE)
  crossref 2025-05-27T17:08:33Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE APPROACHES FOR PALM PRINT FEATURE EXTRACTION AND CLASSIFICATION
  crossref 2025-06-25T11:22:14Z 置信度 0.70
• Research on Information Technology Teaching under the Background of Artificial Intelligence
  Modern science network technology and artificial intelligence have achieved rapid development in a short period of time, and have become the most critical scientific and technological elements of the contemporary era. With the continuous development of artific…
  crossref Yujun Liu 2024-11-07T07:32:31Z 置信度 0.70
• AI-Driven Predictive Analytics for Medical Device Failure Detection
  This research paper explores the application of AI-driven predictive analytics for detecting failures in medical devices.With the increasing reliance on medical devices for patient care, ensuring their reliability and functionality is paramount.AI-based predic…
  crossref Prayag Ganoje 2024-09-09T08:29:13Z 置信度 0.70
• Social acceptance of artificial intelligence (AI) application for improving medical service diagnostics
  The aim of the conducted research was to assess the attitude of the Polish society towards the use of artificial intelligence in medical diagnostics. In the research process, we sought answers to three research questions: how trust in the use of AI for medical…
  crossref Joanna Ejdys, Magdalena Czerwińska, Romualdas Ginevičius 2024-05-27T23:45:54Z 置信度 0.70
• Peer Review Report For: Perspectives and guidance for developing artificial intelligence-based applications for healthcare using medical images [version 1; peer review: 2 not approved]
  Artificial intelligence (AI) has significant potential to transform healthcare and improve patient care. However, successful development and integration of AI models requires careful consideration of study designs and sample size calculations for development a…
  crossref 2025-11-26T01:07:08Z 置信度 0.70
• Efficient Techniques for Disease Prediction from Medical Data
  Individuals are susceptible to numerous ailments in today’s world, with people living highly automated lives under tremendous job pressure, both at home and at work. Such clinical disorders have recently been on increasing at an alarming pace. Therefore, the h…
  crossref Bhupendra Kumar, Namita Rajput 2024-01-02T08:27:41Z 置信度 0.70
• The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?
  Ophthalmology, the medical field dedicated to eye care, is undergoing a transformation due to the advent of artificial intelligence (AI). This review article explores the growing use of AI in ophthalmic practices, focusing on disease diagnosis, screening, and …
  crossref İbrahim Edhem Yılmaz 2024-06-24T11:59:42Z 置信度 0.70
• Clinical Applications of Artificial Intelligence in Medical Imaging and Image Processing—A Review
  Artificial intelligence (AI) is currently becoming a leading field in data processing [...]
  crossref Rafał Obuchowicz, Michał Strzelecki, Adam Piórkowski 2024-05-14T10:26:36Z 置信度 0.70
• CREATIVITY AND ARTIFICIAL INTELLIGENCE: HUMAN PRIORITIES AND TECHNOLOGICAL POSSIBILITIES OF THE ARTIFICIAL INTELLIGENCE
  The author examines the problems of human creativity in the context of the emergence of modern artificial intelligence technologies. A scientific analysis of the areas of artificial intelligence application in the human creative process is carried out; it is s…
  crossref Svitlana Sysoieva 2025-03-27T18:39:04Z 置信度 0.70
• Artificial Intelligence and Computer Vision in Sustainable Vertical Farming
  The integration of computer vision (CV) and artificial intelligence (AI) technologies into sustainable vertical farming is a key component of the Industry 5.0 revolution. This study provides a comprehensive analysis of AI’s and CV’s roles in sustainable vertic…
  crossref Archana Bhamare, Payal Bansal 2024-09-17T18:08:51Z 置信度 0.70
• Introducing Artificial Intelligence, Co-Creation and Creativity
  The emergence and proliferation of artificial intelligence (AI) tools for creative tasks is deeply impacting and rapidly transforming various creative sectors, allowing for a permanent state of innovation across different domains. Such fast-changing scenario c…
  crossref Francisco Tigre Moura 2024-06-12T13:51:10Z 置信度 0.70
• Altruistic collective intelligence for the betterment of artificial intelligence
  This chapter explores the potential of altruistic collective intelligence (CI) in advancing artificial intelligence (AI) technologies. It emphasizes the interplay of cooperation and competition – coopetition – in fostering CI among developers. Drawing empirica…
  crossref Thomas Maillart, Lucia Gomez, Mohanty Sharada, Dipam Chakraborty 等 2024-10-29T11:07:37Z 置信度 0.70
• Copyright
  crossref 2024-01-21T10:31:44Z 置信度 0.70
• Copyright
  crossref 2024-03-29T07:44:24Z 置信度 0.70
• 2024 6th International Conference on Artificial Intelligence and Computer Applications (ICAICA)
  crossref 2025-01-07T19:22:24Z 置信度 0.70
• Crowd Computing
  crossref 2024-11-08T00:28:12Z 置信度 0.70
• 2024 5th International Conference on Artificial Intelligence, Robotics and Control (AIRC)
  crossref 2024-09-17T18:48:50Z 置信度 0.70
• Logic Foundation
  crossref 2024-11-08T00:28:12Z 置信度 0.70
• Artificial Intelligence New Wars, New Weapons, and New Players in International Relations
  crossref Fatima Roumate 2024-05-08T15:01:52Z 置信度 0.70
• “"Pronominal reference and its importance in textual cohesion” and an applied model for discourse analysis on an article by Sheikh Ali Al-Tantawi using generative artificial intelligence technology “ChatGPT”
  The study relied on discourse analysis, which is considered a rich and fertile specialty that has gained its cognitive merit and scientific sovereignty because it provides the researcher with different methodological approaches to analyzing different texts and…
  crossref KAMERAA AL SAIED 2025-02-02T09:36:06Z 置信度 0.70
• Artificial Intelligence Outperforms Physicians in General Medical Knowledge, Except in the Paediatrics Domain: A Cross-Sectional Study
  Generative artificial intelligence (genAI) shows promising results in clinical practice. This study compared a GPT-4-turbo virtual assistant with physicians from Italy, France, Spain, and Portugal on medical knowledge derived from national exams while analysin…
  openalex J. M. Galdeano Miranda, Raquel Pereira-Silva, João Guichard, Jorge Meneses 等 2025-06-14 置信度 0.72 Cross-sectional studyPediatricsDomain (mathematical analysis)MedicineFamily medicine
• Digitalisation and artificial intelligence development. A cross-country analysis
  Purpose This study aims to examine how cultural dimensions affect digitalisation, particularly artificial intelligence (AI) development and its implementation strategies in 38 countries. Design/methodology/approach We use a mixed methodology to obtain a deeper…
  openalex Chiara Cannavale, Lorenza Claudio, Диана Королева 2025-04-07 置信度 0.72 BusinessKnowledge managementBusiness administrationArtificial intelligenceComputer science
• Application of Artificial Intelligence in Acute Ischemic Stroke: A Scoping Review
  Artificial intelligence (AI) is revolutionizing stroke care by enhancing diagnosis, treatment, and outcome prediction. This review examines 505 original studies on AI applications in ischemic stroke, categorized into outcome prediction, stroke risk prediction,…
  openalex JoonNyung Heo 2025-02-18 置信度 0.72 Stroke (engine)MedicineIntensive care medicineComorbidityArtificial intelligence
• The Role of Artificial Intelligence in the Diagnosis and Management of Rheumatoid Arthritis
  Background and Objectives: Artificial intelligence has emerged as a transformative tool in healthcare, offering capabilities such as early diagnosis, personalised treatment, and real-time patient monitoring. In the context of rheumatoid arthritis, a chronic au…
  openalex Amalia Vlad, Corina Popazu, Alina-Maria Lescai, Doina Carina Voinescu 等 2025-04-09 置信度 0.72 MedicineRheumatoid arthritisContext (archaeology)Logistic regressionDescriptive statistics
• An Artificial Intelligence Approach for Test‐Free Identification of Sarcopenia
  BACKGROUND: The diagnosis of sarcopenia relies extensively on human and equipment resources and requires individuals to personally visit medical institutions. The objective of this study was to develop a test-free, self-assessable approach to identify sarcopen…
  openalex Liangyu Yin, Jinghong Zhao 2024-11-08 置信度 0.72 MedicineSarcopeniaTest (biology)Identification (biology)Artificial intelligence
• Artificial intelligence for disease X: Progress and challenges
  openalex Keda Chen, Jiaxuan Li, Lanjuan Li 2024-12-01 置信度 0.72 MedicineNephrologyDiseaseInternal medicineIntensive care medicine
• Artificial intelligence in the anterior segment of eye diseases
  Ophthalmology is a subject that highly depends on imaging examination. Artificial intelligence (AI) technology has great potential in medical imaging analysis, including image diagnosis, classification, grading, guiding treatment and evaluating prognosis. The …
  openalex Yao‐Hong Liu, Sijia Liu, Lixiong Gao, Yong Tang 等 2024-08-20 置信度 0.72 MedicineAnterior Eye SegmentOphthalmologyOptometryArtificial intelligence
• Leveraging Artificial Intelligence to Maximize Efficiency in Supply Chain Process Optimization
  Artificial Intelligence (AI) has emerged as a transformative force in supply chain management, addressing inefficiencies and complexities in dynamic global markets.The integration of AI technologies, including machine learning, predictive analytics, and autono…
  openalex Oluwole Raphael Odumbo, Sani Zainab Nimma 2025-01-01 置信度 0.72 Supply chainProcess (computing)Computer scienceArtificial intelligenceBiochemical engineering
• Revolutionary artificial intelligence or rogue technology? The promises and pitfalls of ChatGPT
  Objective: The objective of the article is to offer a thorough exploration and comprehension of the obstacles and potential advantages linked to the application of generative artificial intelligence (GAI) in the business realm, particularly emphasizing ChatGPT…
  openalex Marek Sieja, Krzysztof Wach 2023-12-29 置信度 0.72 Generative grammarRealmEngineering ethicsKnowledge managementComputer science
• Artificial Intelligence (AI) and Workplace Communication: Promises, Perils, and Recommended Policy
  Communication sits at the heart of any coordination within organization. Yet, what are the consequences when employes use Artificial Intelligence (AI) to copilot, i.e., support, their communication? While AI support in human interactions holds much promise for…
  openalex Niels Van Quaquebeke, Fabiola H. Gerpott 2024-10-14 置信度 0.72 PsychologyKnowledge managementPublic relationsBusinessComputer science
• Artificial intelligence in bronchoscopy: a systematic review
  BACKGROUND: Artificial intelligence (AI) systems have been implemented to improve the diagnostic yield and operators' skills within endoscopy. Similar AI systems are now emerging in bronchoscopy. Our objective was to identify and describe AI systems in broncho…
  openalex Kristoffer Mazanti Cold, Anishan Vamadevan, Christian B. Laursen, Flemming Bjerrum 等 2025-04-01 置信度 0.72 MedicineBronchoscopyMEDLINEAirwayArtificial intelligence
• Generative artificial intelligence for automated data extraction from unstructured medical text
  Objectives: Unstructured data, such as procedure notes, contain valuable medical information that is frequently underutilized due to the labor-intensive nature of data extraction. This study aims to develop a generative artificial intelligence (GenAI) pipeline…
  openalex Phuong Nam Dao, Luisa Quesada, Syed Moin Hassan, M. Iturrioz Campo 等 2025-08-19 置信度 0.72 Computer sciencePipeline (software)Artificial intelligenceUnstructured dataData extraction
• Artificial Intelligence and the Skill Premium
  How will the emergence of ChatGPT and other forms of artificial intelligence (AI) affect the skill premium?To address this question, we propose a nested constant elasticity of substitution production function that distinguishes among three types of capital: tr…
  openalex David E. Bloom, Klaus Prettner, Jamel Saadaoui, Mario Veruete 2024-05-01 置信度 0.72 Computer sciencePsychology
• A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence
  From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment analysis of nanocomposite literature, distinguishing itself from existing reviews through its unique computational methodology. Developed by our research group, this novel appro…
  openalex Fernando Gomes de Souza, Shekhar Bhansali, Kaushik Pal, Fabíola da Silveira Maranhão 等 2024-02-27 置信度 0.72 NanocompositeScopusField (mathematics)Computer scienceNanotechnology
• Artificial Intelligence Detection of Cervical Spine Fractures Using Convolutional Neural Network Models
  OBJECTIVE: To develop and evaluate a technique using convolutional neural networks (CNNs) for the computer-assisted diagnosis of cervical spine fractures from radiographic x-ray images. By leveraging deep learning techniques, the study might potentially lead t…
  openalex Wongthawat Liawrungrueang, Inbo Han, Watcharaporn Cholamjiak, Peem Sarasombath 等 2024-09-27 置信度 0.72 Convolutional neural networkCervical spineComputer scienceArtificial neural networkArtificial intelligence
• Treating medical data as a durable asset
  openalex Amalio Telenti, Xiaoqian Jiang 2020-09-14 置信度 0.72 MetadataData scienceGenomicsAsset (computer security)Big data
• Overcoming barriers in the use of artificial intelligence in point of care ultrasound
  Point-of-care ultrasound is a portable, low-cost imaging technology focused on answering specific clinical questions in real time. Artificial intelligence amplifies its capabilities by aiding clinicians in the acquisition and interpretation of the images; howe…
  openalex Roberto Vega, Masood Dehghan, Arun Nagdev, Brian Buchanan 等 2025-04-19 置信度 0.72 Point (geometry)Point of care ultrasoundPoint of careUltrasoundPsychology
• Ethical Considerations Emerge from Artificial Intelligence (AI) in Biotechnology
  The integration of Artificial intelligence (AI) in biotechnology presents significant ethical challenges that must be addressed to ensure responsible innovations. Key concerns include data privacy and security, as AI systems often handle sensitive genetic and …
  openalex Mahintaj Dara, Negar Azarpira 2025-01-25 置信度 0.72 SafeguardingScrutinyTransparency (behavior)Equity (law)Engineering ethics
• Revolutionizing Cardiac Imaging: A Scoping Review of Artificial Intelligence in Echocardiography, CTA, and Cardiac MRI
  BACKGROUND AND INTRODUCTION: Cardiac imaging is crucial for diagnosing heart disorders. Methods like X-rays, ultrasounds, CT scans, and MRIs provide detailed anatomical and functional heart images. AI can enhance these imaging techniques with its advanced lear…
  openalex Ali Moradi, Olawale O Olanisa, Tochukwu Nzeako, Mehregan Shahrokhi 等 2024-08-08 置信度 0.72 Medical physicsScopusMedicineCardiac imagingImage quality
• Application of the AlphaFold2 Protein Prediction Algorithm Based on Artificial Intelligence
  As the expression products of genes and macromolecules in living organisms, proteins are the main material basis of life activities. They exist widely in various cells and have various functions such as catalysis, cell signaling and structural support, playing…
  openalex Quan Zhang, Beichang Liu, Guoqing Cai, Jili Qian 等 2024-02-28 置信度 0.72 Computer scienceArtificial intelligenceAlgorithmMachine learning
• Artificial Intelligence-Driven Multi-Omics Approaches in Glioblastoma
  Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adults. It is characterized by a high degree of heterogeneity, meaning that although these tumors may appear morphologically similar, they often exhibit distinct clinical outcomes. By …
  openalex Giovanna Morello, Valentina La Cognata, Maria Guarnaccia, Giulia Gentile 等 2025-09-25 置信度 0.72 RadiomicsGlioblastomaArtificial intelligenceComputer scienceDeep learning
• Artificial intelligence, extended reality, and emerging AI–XR integrations in medical education
  Introduction: Artificial intelligence (AI) and extended reality (XR)-including virtual, augmented, and mixed reality-are increasingly adopted in health-professions education. However, the educational impact of AI, XR, and especially their combined use within i…
  openalex Talía Tene, DIEGO FABIÁN VIQUE LOPEZ, Marlene Jacqueline García Veloz, Byron Stalin Rojas Oviedo 等 2026-01-09 置信度 0.72 Generalizability theoryCertaintyLimit (mathematics)Medical educationPsychological intervention
• Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review
  Research on the applications of artificial intelligence (AI) tools in medicine has increased exponentially over the last few years but its implementation in clinical practice has not seen a commensurate increase with a lack of consensus on implementing and mai…
  openalex Sarim Dawar Khan, Zahra Hoodbhoy, Mohummad Hassan Raza Raja, Jee Young Kim 等 2024-05-29 置信度 0.72 WorkflowComputer scienceProcurementSystematic reviewScopus
• The role of an artificial intelligence model in antiretroviral therapy counselling and advice for people living with HIV
  OBJECTIVES: People living with HIV may find personalized access to accurate information on antiretroviral therapy (ART) challenging given the stigma and costs potentially associated with attending physical consultations. Artificial intelligence (AI) chatbots s…
  openalex Matthew Chung Yi Koh, Jinghao Nicholas Ngiam, Joy Yong, Paul Anantharajah Tambyah 等 2024-01-02 置信度 0.72 MedicineAbacavirAntiretroviral therapyAdvice (programming)Human immunodeficiency virus (HIV)
• Enhancing nucleic acid delivery by the integration of artificial intelligence into lipid nanoparticle formulation
  The advent of messenger RNA (mRNA) therapeutics has revolutionized medicine, with its potential underscored by rapid advancements during the COVID-19 pandemic. Despite its promise, nucleic acid delivery remains a formidable challenge due to enzymatic degradati…
  openalex Kagya Amoako, Amir Mokhammad, Afrida Malik, Sumith Yesudasan 等 2025-06-16 置信度 0.72 Nucleic acidNanoparticleNanotechnologyComputer scienceChemistry
• Toward governance of artificial intelligence in pediatric healthcare
  AI is transforming healthcare, yet pediatric adoption remains limited and governance is underdeveloped. We review existing frameworks and identify pediatric-specific gaps: insufficient stakeholder engagement, developmentally appropriate consent/assent, limited…
  openalex Felix Richter, Emma Holmes, Florian Richter, Katherine Guttmann 等 2025-10-30 置信度 0.72 Corporate governanceDominance (genetics)Health careStakeholderClinical governance
• Artificial Intelligence in Maritime Cybersecurity: A Systematic Review of AI-Driven Threat Detection and Risk Mitigation Strategies
  The maritime industry is undergoing a digital transformation, integrating automation, artificial intelligence (AI), and the Internet of Things (IoT) to enhance operational efficiency and safety. However, this technological evolution has also increased cybersec…
  openalex Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, S. Sokołowska 等 2025-04-30 置信度 0.72 Computer securityComputer scienceEngineeringRisk analysis (engineering)Business
• Artificial intelligence‐based prediction of the rheological properties of hydrocolloids for plant‐based meat analogues
  BACKGROUND: Methylcellulose has been applied as a primary binding agent to control the quality attributes of plant-based meat analogues. H owever, a great deal of effort has been made to search for hydrocolloids to replace methylcellulose because of increasing…
  openalex Da‐Yeon Lee, Sungmin Jeong, Suin Yun, Suyong Lee 2024-01-29 置信度 0.72 HyperparameterRheologyArtificial intelligenceShear thinningMachine learning
• Development of an artificial intelligence curriculum design for children in Taiwan and its impact on learning outcomes
  In the digital age, the application of Artificial Intelligence (AI) has become an irreversible trend, with its potential in the field of education being particularly noteworthy. However, there are currently few AI education programs for children in Taiwan, and…
  openalex Hong-Guang Zhao, Xinzhu Li, Xin Kang 2024-10-04 置信度 0.72 CurriculumMathematics educationPsychologyEngineeringPedagogy
• Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010
  openalex Rafael Lozano, Mohsen Naghavi, Kyle J Foreman, Stephen S Lim 等 2012-12-01 置信度 0.72 CovariateCause of deathDemographyMedicineStatistics
• Artificial Intelligence (AI) and Emergency Medicine: Balancing Opportunities and Challenges
  Unlabelled: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, has rapidly evolved and is reshaping various fields, including clinical medicine. Emergency medicine stands to benefit from AI's capacity for high-volume data …
  openalex F. Amiot, Benoit Potier 2025-03-21 置信度 0.72 PreprintComputer scienceData scienceArtificial intelligenceWorld Wide Web
• Revolutionizing nursing education and care: The role of artificial intelligence in nursing
  One of the primary applications of artificial intelligence (AI) in nursing is patient monitoring. AI-powered monitoring systems can continuously collect and analyze patient data, such as vital signs and patient behaviors.1, 2 These systems can detect subtle ch…
  openalex Golnar Ghane, Shahrzad Ghiyasvandian, Amir Mohammad Chekeni, Raoofeh Karimi 2024-02-02 置信度 0.72 NursingNursing careNurse educationPsychologyMedicine
• Prospects for the Use of Artificial Intelligence in Personalized Medicine, Pharmaceutical Design and Education
  The article reviews modern approaches to the use of artificial intelligence in personalized medicine, pharmaceutical design and education, in particular in the pharmaceutical industry, in the processes of search, development, new drugs, personalization of phar…
  openalex Viktoria Dovzhuk, L. Konovalova, Natela Dovzhuk, Serhii Konovalov 等 2025-04-17 置信度 0.72 Personalized medicineArtificial intelligenceEngineering ethicsComputer scienceEngineering
• Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives
  Background: With the rapid advancements in science and technology, artificial intelligence (AI) has become increasingly integral to various medical applications, including medical devices and assistive healthcare tools. Extensive research highlights the signif…
  openalex Hao Ren, Fengshi Jing, Yuan Ma, Ruining Wang 等 2025-07-16 置信度 0.72 Current (fluid)Computer scienceData scienceArtificial intelligenceEngineering
• Use of Generative Artificial Intelligence in Teaching and Learning: Engineering Instructors' Perspectives
  ABSTRACT Advancements in generative artificial intelligence, particularly ChatGPT, are increasingly influencing engineering education. Engineering instructors have noticed their students using this technology and are beginning to understand its effects on lear…
  openalex Phiwe M. Simelane, Javeed Kittur 2024-12-27 置信度 0.72 Generative grammarComputer scienceArtificial intelligenceMathematics educationPsychology
• Artificial Intelligence in Chronic Disease Management for Aging Populations: A Systematic Review of Machine Learning and NLP Applications
  As China's elderly population grows rapidly and the aging society arrives, the number of elderly patients with chronic diseases (mainly including chronic cardiovascular and cerebrovascular diseases, respiratory diseases, etc) continues to increase, significant…
  openalex Gang Feng, Falin Weng, Wei Lu, Libin Xu 等 2025-06-01 置信度 0.72 MedicineArtificial intelligenceDiseaseNatural language processingData science
• Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence
  This policy analysis focuses on harnessing the power of artificial intelligence (AI) in hospital quality improvement to transform quality and patient safety. It examines the application of AI at the two following fundamental levels: (1) diagnostic and treatmen…
  openalex Hana J Abukhadijah, Abdulqadir J. Nashwan 2024-06-17 置信度 0.72 Quality managementQuality (philosophy)Artificial intelligenceComputer scienceEngineering
• The missing value of medical artificial intelligence
  europepmc Isaac S. Kohane, Arjun K. Manrai 2025 置信度 0.80 Artificial intelligenceValue (mathematics)Missing dataComputer scienceMachine learning
• An intriguing vision for transatlantic collaborative health data use and artificial intelligence development
  Our traditional approach to diagnosis, prognosis, and treatment, can no longer process and transform the enormous volume of information into therapeutic success, innovative discovery, and health economic performance. Precision health, i.e., the right treatment…
  openalex Daniel C. Baumgart 2024-01-23 置信度 0.72 Data scienceArtificial intelligenceComputer sciencePsychology
• Artificial Intelligence in Communication Sciences and Disorders: Introduction to the Forum
  openalex Jordan R. Green 2024-10-17 置信度 0.72 PsychologyCognitive scienceCognitive psychology
• Artificial intelligence in nurse education – a new sparring partner?
  In Norway, one of four nursing students are failing on the national exam for nursing students in the subject of anatomy, physiology, and biochemistry. We need more knowledge on how to address this situation and this position paper builds on our previous work o…
  openalex Rune Johan Krumsvik 2024-10-11 置信度 0.72 Psychology
• Artificial Intelligence and Public Sector Auditing: Challenges and Opportunities for Supreme Audit Institutions
  The application of artificial intelligence (AI) is growing exponentially in public entities, contributing to the improvement of the design and provision of services, as well as to the internal management and efficiency of public institutions. However, the pote…
  openalex Dolores Genaro-Moya, Antonio Manuel López Hernández, Mariia Godz 2025-06-01 置信度 0.72 AuditPublic sectorSupreme courtBusinessAccounting
• Multimodality Fusion Aspects of Medical Diagnosis: A Comprehensive Review
  Utilizing information from multiple sources is a preferred and more precise method for medical experts to confirm a diagnosis. Each source provides critical information about the disease that might otherwise be absent in other modalities. Combining information…
  openalex Sachin Kumar, Sita Rani, Shivani Sharma, Hong Min 2024-12-05 置信度 0.72 Medical diagnosisMultimodalityModalitiesComputer scienceProcess (computing)
• A quantitative analysis of artificial intelligence research in cervical cancer: a bibliometric approach utilizing CiteSpace and VOSviewer
  Background: Cervical cancer, a severe threat to women's health, is experiencing a global increase in incidence, notably among younger demographics. With artificial intelligence (AI) making strides, its integration into medical research is expanding, particular…
  openalex Ziqi Zhao, Boqian Hu, Kun Xu, Yizhuo Jiang 等 2024-09-03 置信度 0.72 Cervical cancerComputer scienceCancerMedicineInternal medicine
• Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review
  BACKGROUND: The integration of artificial intelligence (AI) in health care has significant potential, yet its acceptance by health care professionals (HCPs) is essential for successful implementation. Understanding HCPs' perspectives on the explainability and …
  openalex Yushu Liu, Chenxi Liu, Jianing Zheng, Chang Xu 等 2025-06-02 置信度 0.72 PreprintHealth careHealth professionalsComputer scienceArtificial intelligence
• Overview of trials on artificial intelligence algorithms in breast cancer screening – A roadmap for international evaluation and implementation
  Accumulating evidence from retrospective studies demonstrate at least non-inferior performance when using AI algorithms with different strategies versus double-reading in mammography screening. In addition, AI algorithms for mammography screening can reduce wo…
  openalex Thiemo J. A. van Nijnatten, Nicholas Roy Payne, Sarah Hickman, Hutan Ashrafian 等 2023-09-08 置信度 0.72 MedicineAlgorithmReading (process)MammographyArtificial intelligence
• Causality and scientific explanation of artificial intelligence systems in biomedicine
  With rapid advances of deep neural networks over the past decade, artificial intelligence (AI) systems are now commonplace in many applications in biomedicine. These systems often achieve high predictive accuracy in clinical studies, and increasingly in clinic…
  openalex Florian J. Boge, Axel Mosig 2024-10-29 置信度 0.72 BiomedicineTrustworthinessArtificial intelligenceCausality (physics)Perspective (graphical)
• Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence
  Pancreatic cancer (PC) is one of the deadliest cancers, and it is responsible for a number of deaths almost equal to its incidence. The high mortality rate is correlated with several explanations; the main one is the late disease stage at which the majority of…
  openalex Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, Roberta Galdiero 等 2023-01-05 置信度 0.72 MedicineMagnetic resonance cholangiopancreatographyStage (stratigraphy)Pancreatic cancerRadiology
• Human-in-the-Loop Artificial Intelligence: A Systematic Review of Concepts, Methods, and Applications
  The integration of human judgment into artificial intelligence (AI) systems has emerged as a key research direction, particularly for high-stakes applications where full automation remains insufficient. Human-in-the-Loop (HITL) AI represents a field that combi…
  openalex Konstantinos Lazaros, Aristidis G. Vrahatis, Sotiris Kotsiantis 2026-03-26 置信度 0.72 Software deploymentComputer scienceHuman-in-the-loopAutomationKey (lock)
• Artificial intelligence and the dawn of an algorithmic divide
  Emerging technologies like artificial intelligence (AI) and algorithms reshape news curation and consumption. Against this background, previous research has been focused on divides between groups regarding access to such digital technologies. Disparities in aw…
  openalex Maximilian Eder, Helle Sjøvaag 2024-09-24 置信度 0.72 Cognitive scienceData scienceComputer scienceArtificial intelligenceAstrobiology
• Exploring the determinants and effects of artificial intelligence (AI) hallucination exposure on generative AI adoption in healthcare
  Artificial intelligence (AI) hallucinations—erroneous outputs that generate misleading or nonsensical content—pose significant risks in contexts where consumers seek health information, as inaccuracies in this domain could lead to harmful outcomes. This study …
  openalex Longyun Jin, Zijun Shen, Anas Ali Alhur, Salman Bin Naeem 2025-06-02 置信度 0.72 Generative grammarPsychologyHealth careArtificial intelligenceComputer science
• Postgraduate Students’ Perceptions on the Benefits Associated with Artificial Intelligence Tools on Academic Success: In Case of ChatGPT AI tool
  Postgraduate students in developing nations, such as South Africa, are increasingly leveraging artificial intelligence tools like ChatGPT to elevate their academic success in the era of the fourth industrial revolution. This study aims to explore postgraduate …
  openalex Thulani Andrew Chauke, Themba Ralph Mkhize, Lina Mmakgabo Methi, Ntandokamenzi Penelope Dlamini 2024-03-29 置信度 0.72 PerceptionPsychologyMathematics educationComputer scienceArtificial intelligence
• A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests
  BACKGROUND: The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-friendly characteristics. The choice of e…
  openalex Mehri Momeni, Marziyeh Afkanpour, Saleh Rakhshani, Amin Mehrabian 等 2024-03-27 置信度 0.72 Machine learningComputer scienceArtificial intelligenceArtificial neural networkDeep learning
• Refusing participation: hesitations about designing responsible patient engagement with artificial intelligence in healthcare
  The rapidly expanding field of artificial intelligence (AI) is often accompanied by calls for parallel research on its societal implications.For research about AI in healthcare, this translates to some form of patient engagement.In this article, we question wh…
  openalex Flora Lysen, Sally Wyatt 2024-01-29 置信度 0.72 Responsible Research and InnovationHealth careEngineering ethicsPsychologyPatient care
• Geopolymer foam concrete: a review of pore characteristics, compressive strength and artificial intelligence in GFC strength simulations
  Geopolymer foam concrete (GFC) has emerged as a sustainable alternative in construction, utilizing waste-derived binders to enhance material properties while addressing environmental concerns. This review examines the impact of precursor materials, foam agents…
  openalex Mohamed Abdellatief, Alaa E. Hassanien, Mohamed Mortagi, Hassan Hamouda 2025-04-07 置信度 0.72 Compressive strengthGeopolymerMaterials scienceGeopolymer cementComposite material
• Transforming Medical Libraries: Opportunities, Challenges, and Strategies for Integrating Artificial Intelligence
  This study examines the role of Artificial Intelligence (AI) in transforming medical libraries, focusing on identifying opportunities, challenges, and strategies for effective integration. Medical libraries, essential resources for healthcare professionals, ar…
  openalex Ebiere Diana Orubebe, Esther Mamodu Ijaja, John Ahiaba Ogwula, Bolaji David Oladokun 2024-11-11 置信度 0.72 Computer scienceData scienceKnowledge managementEngineeringEngineering management
• Artificial Intelligence for Cervical Spine Fracture Detection: A Systematic Review of Diagnostic Performance and Clinical Potential
  Study DesignSystematic review.ObjectiveArtificial intelligence (AI) and deep learning (DL) models have recently emerged as tools to improve fracture detection, mainly through imaging modalities such as computed tomography (CT) and radiographs. This systematic …
  openalex Wongthawat Liawrungrueang, Watcharaporn Cholamjiak, Arunee Promsri, Khanathip Jitpakdee 等 2025-01-12 置信度 0.72 MedicineArtificial intelligenceGeneralizability theoryMEDLINEMachine learning
• Artificial intelligence-driven predictive maintenance in IoT systems
  The study looks at the application of AI-driven predictive maintenance in IoT systems. Predictive device failure, efficient reduction in system downtime, reduced maintenance costs, and overall efficiency in connected devices will be enabled through machine lea…
  openalex Raghdah Adnan Abdulrazzq, Nisreen Mustafa Sajid, Md. Kamrul Hasan 2024-12-13 置信度 0.72 Predictive maintenanceInternet of ThingsComputer scienceArtificial intelligenceEngineering
• Concept-based Explainable Artificial Intelligence: A Survey
  The field of explainable artificial intelligence emerged in response to the growing need for more transparent and reliable models. However, using raw features to provide explanations has been discussed in several works lately, advocating for more user-understa…
  openalex Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor, Tania Cerquitelli 等 2025-11-08 置信度 0.72 Computer scienceCategorizationTaxonomy (biology)Field (mathematics)Domain (mathematical analysis)
• Artificial intelligence in abdominal and pelvic ultrasound imaging: current applications
  BACKGROUND: In recent years, the integration of artificial intelligence (AI) techniques into medical imaging has shown great potential to transform the diagnostic process. This review aims to provide a comprehensive overview of current state-of-the-art applica…
  openalex Lie Cai, André Pfob 2024-11-02 置信度 0.72 MedicineHepatologyUltrasoundRadiologyCurrent (fluid)
• Detection of oral cancer and oral potentially malignant disorders using artificial intelligence‐based image analysis
  BACKGROUND: We aimed to construct an artificial intelligence-based model for detecting oral cancer and dysplastic leukoplakia using oral cavity images captured with a single-lens reflex camera. SUBJECTS AND METHODS: We used 1043 images of lesions from 424 pati…
  openalex Atsumu Kouketsu, Chiaki Doi, Hiroaki Tanaka, Takashi Araki 等 2024-06-11 置信度 0.72 LeukoplakiaMedicineCancerOral cavityBasal cell
• Human-Computer Interaction: A Literature Review of Artificial Intelligence and Communication in Healthcare
  The integration of artificial intelligence (AI) into healthcare communication has rapidly evolved, driven by advancements in large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT). This literature review explores AI's role in pa…
  openalex Theo J Clay, Zephy J Da Custodia Steel, Chris Jacobs 2024-11-15 置信度 0.72 CLARITYEmpathyHealth careMedicineTransformative learning
• An Innovative Artificial Intelligence Based Decision Making System for Public Health Crisis Virtual Reality Rehabilitation
  The COVID-19 disease caused by the SARS-CoV-2 virus was declared by the World Health Organization (WHO) as a spreadable viral disease. During the COVID pandemic, there was difficulty in notifying the Decision-Making System (DMS) about the rapid and precise tri…
  openalex Hayder M. A. Ghanimi, Firas Tayseer Ayasrah, Vijaya Chandra Jadala, T. C. Manjunath 等 2025-01-03 置信度 0.72 Artificial intelligenceComputer scienceMachine learningDecision treeHealth care
• Artificial Intelligence (AI) for Research Lifecycle: Challenges and Opportunities
  Objective. This article aims to review the progress of AI technologies concerning their potential impact on academia, research processes, scientific communication, and libraries. Methods. AI tools for research lifecycle and their potential impact on academia a…
  openalex Tetiana Yaroshenko, Олександра Ярошенко 2023-12-28 置信度 0.72 Transformative learningPublishingEthical issuesProcess (computing)Engineering ethics
• The Use of Artificial Intelligence for Skin Disease Diagnosis in Primary Care Settings: A Systematic Review
  The prevalence of dermatological conditions in primary care, coupled with challenges such as dermatologist shortages and rising consultation costs, highlights the need for innovative solutions. Artificial intelligence (AI) holds promise for improving the diagn…
  openalex Anna Escalé-Besa, Josep Vidal‐Alaball, Queralt Miró Catalina, Victor Hugo Garcia Gracia 等 2024-06-13 置信度 0.72 TriagePrimary careMedicineDiagnostic accuracyEconomic shortage
• Generative artificial intelligence writing open notes: A mixed methods assessment of the functionality of GPT 3.5 and GPT 4.0
  Background: Worldwide, patients are increasingly being offered access to their full online clinical records including the narrative reports written by clinicians (so-called "open notes"). Against these developments, there is growing interest in the use of gene…
  openalex Anna Kharko, Brian McMillan, Josefin Hagström, Irene Muli 等 2024-01-01 置信度 0.72 Generative grammarComputer scienceArtificial intelligence
• Resilient Artificial Intelligence in Health: Synthesis and Research Agenda Toward Next-Generation Trustworthy Clinical Decision Support
  Artificial intelligence (AI)-based clinical decision support systems are gaining momentum by relying on a greater volume and variety of secondary use data. However, the uncertainty, variability, and biases in real-world data environments still pose significant…
  openalex Carlos Sáez, Pablo Ferri, Juan M. García‐Gómez 2024-06-28 置信度 0.72 Variety (cybernetics)Computer scienceData scienceRisk analysis (engineering)Decision support system