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Artificial intelligence systems now generate software, scientific research, legal documents, financial analysis, medical recommendations, and other outputs that increasingly shape human institutions and decision-making. Despite this expansion, there exists no …
datacite
Rahming, Rashon
2026
置信度 0.66
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Artificial intelligence systems now generate software, scientific research, legal documents, financial analysis, medical recommendations, and other outputs that increasingly shape human institutions and decision-making. Despite this expansion, there exists no …
datacite
Rahming, Rashon
2026
置信度 0.66
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Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive (antériorité) et entre dans l’état de la technique au sens des textes applicables (EPC …
datacite
Pillet, Xavier
2026
置信度 0.66
B25J 15/00B25J 15/12G01D 18/00G01L 5/00G01L 5/16
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Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive (antériorité) et entre dans l’état de la technique au sens des textes applicables (EPC …
datacite
Pillet, Xavier
2026
置信度 0.66
B25J 15/00B25J 15/12G01D 18/00G01L 5/00G01L 5/16
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Abstract The Human Development Index (HDI) is a composite measure developed by the United Nations Development Programme (UNDP) to assess a country's progress in health, education, and standard of living. Pakistan continues to face significant challenges in imp…
datacite
Hussain, Zahid
2026
置信度 0.66
HDIPakistanHumanDevelopmentIndex
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Abstract The Human Development Index (HDI) is a composite measure developed by the United Nations Development Programme (UNDP) to assess a country's progress in health, education, and standard of living. Pakistan continues to face significant challenges in imp…
datacite
Hussain, Zahid
2026
置信度 0.66
HDIPakistanHumanDevelopmentIndex
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The Projection Diode: Directional Shape Asymmetry Beneath Scalar Reciprocity in a Tesla-Valve Flow Field Abstract The evaluation of fixed-geometry fluidic conduits, particularly the archetypal Tesla valve, has historically been dominated by the pursuit of macr…
datacite
Kulik, Dean
2026
置信度 0.66
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The Projection Diode: Directional Shape Asymmetry Beneath Scalar Reciprocity in a Tesla-Valve Flow Field Abstract The evaluation of fixed-geometry fluidic conduits, particularly the archetypal Tesla valve, has historically been dominated by the pursuit of macr…
datacite
Kulik, Dean
2026
置信度 0.66
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Alzheimer's disease (AD) is the most common type of dementia with a progressive neurodegenerative course, characterized by the accumulation of amyloid-beta plaques and tau tangles in the brain. The global prevalence of this disease is rapidly increasing with t…
datacite
Maryam Gholami, Mohammad Hosein Fatehi, Mohammad Amin PirBonyeh, Mehdi Taghizadeh
2026
置信度 0.66
Electroencephalogram signalDeep learningConvolutional neural networkPTEAlzheimer's disease.
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This record establishes, as a matter of public scientific record dated May 15, 2026, the existence of a complete, working, mathematically grounded framework for measuring whether an artificial intelligence system is behaving coherently — before it delivers a r…
datacite
Dragolich, Daniel
2026
置信度 0.66
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This record establishes, as a matter of public scientific record dated May 15, 2026, the existence of a complete, working, mathematically grounded framework for measuring whether an artificial intelligence system is behaving coherently — before it delivers a r…
datacite
Dragolich, Daniel
2026
置信度 0.66
-
With improved diagnostic accuracy, intelligent decision-making, individualized care, and ongoing patient monitoring, artificial intelligence (AI) has become a game-changing technology in medical equipment. Medical devices like diagnostic imaging systems, weara…
datacite
Rupali Waghmode*, Anisha Nalwade, Arti Dagadkhair, Sayali Nanware, Dr. Gauri Patil, Dr. Rajendra Patil
2026
置信度 0.66
Artificial Intelligence, Medical Devices, Machine Learning, Natural Language Processing etc.
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With improved diagnostic accuracy, intelligent decision-making, individualized care, and ongoing patient monitoring, artificial intelligence (AI) has become a game-changing technology in medical equipment. Medical devices like diagnostic imaging systems, weara…
datacite
Rupali Waghmode*, Anisha Nalwade, Arti Dagadkhair, Sayali Nanware, Dr. Gauri Patil, Dr. Rajendra Patil
2026
置信度 0.66
Artificial Intelligence, Medical Devices, Machine Learning, Natural Language Processing etc.
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Lev's Ternary Logic Quotes is a collection of 2,610 quotations organized across 61 categories, exploring the philosophical, governance, economic, ethical, and architectural principles underlying Ternary Logic (TL), a peer-reviewed institutional governance fram…
datacite
Goukassian, Lev
2026
置信度 0.66
QuotationsAphorismsTernary Logic QuotesHuman RightsConstitutional AI
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Lev's Ternary Logic Quotes is a collection of 2,610 quotations organized across 61 categories, exploring the philosophical, governance, economic, ethical, and architectural principles underlying Ternary Logic (TL), a peer-reviewed institutional governance fram…
datacite
Goukassian, Lev
2026
置信度 0.66
QuotationsAphorismsTernary Logic QuotesHuman RightsConstitutional AI
-
Background: Machine learning models learn feature connections from data to learn general behavior. The goal was to build a prediction model to identify the percentage of patients with colorectal cancer who are at increased risk of chemotherapy-induced toxicity…
datacite
Dr. Ohmini Krishnamurthy Rajendran
2026
置信度 0.66
Metastatic Colorectal Cancer; Artificial Intelligence; Prediction Model; Chemotherapy Toxicity.
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Background: Machine learning models learn feature connections from data to learn general behavior. The goal was to build a prediction model to identify the percentage of patients with colorectal cancer who are at increased risk of chemotherapy-induced toxicity…
datacite
Dr. Ohmini Krishnamurthy Rajendran
2026
置信度 0.66
Metastatic Colorectal Cancer; Artificial Intelligence; Prediction Model; Chemotherapy Toxicity.
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Epileptic seizure detection is an important task in healthcare monitoring systems. Epileptic seizures occur due to abnormal electrical activity in the brain and may vary in severity, duration, and type. Accurate and early detection of seizures using electroenc…
datacite
Sankaran D, Rohinth E, Rohith Sarugash M
2026
置信度 0.66
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Epileptic seizure detection is an important task in healthcare monitoring systems. Epileptic seizures occur due to abnormal electrical activity in the brain and may vary in severity, duration, and type. Accurate and early detection of seizures using electroenc…
datacite
Sankaran D, Rohinth E, Rohith Sarugash M
2026
置信度 0.66
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Inclusive education has made significant progress over recent decades, particularly in advancing the rights of persons with disabilities and creating more accessible learning environments. Yet today's greatest challenge is recognizing that human diversity exte…
datacite
Esco, Ivan
2026
置信度 0.66
Special educationEducational sciencesUndocumented Immigrants/education
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Inclusive education has made significant progress over recent decades, particularly in advancing the rights of persons with disabilities and creating more accessible learning environments. Yet today's greatest challenge is recognizing that human diversity exte…
datacite
Esco, Ivan
2026
置信度 0.66
Special educationEducational sciencesUndocumented Immigrants/education
-
Pulmonary disorders -- pneumonia, tuberculosis, lung cancer, chronic obstructive pulmonary disease, and interstitial lungdisease -- collectively represent one of the leading causes of death globally, and chest radiography remains the first-lineimaging modality…
datacite
Nina Garcia, Eva Schmidt, Daniel Nowak
2022
置信度 0.66
artificial intelligence; deep learning; chest X-ray; pulmonary diagnosis; pneumonia; tuberculosis; lung cancer; vision transformer; convolutional neural network; radiology; medical imaging; ensemble model
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Pulmonary disorders -- pneumonia, tuberculosis, lung cancer, chronic obstructive pulmonary disease, and interstitial lungdisease -- collectively represent one of the leading causes of death globally, and chest radiography remains the first-lineimaging modality…
datacite
Nina Garcia, Eva Schmidt, Daniel Nowak
2022
置信度 0.66
artificial intelligence; deep learning; chest X-ray; pulmonary diagnosis; pneumonia; tuberculosis; lung cancer; vision transformer; convolutional neural network; radiology; medical imaging; ensemble model
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Context-Dependent TAP-Loader and NK-Enriched Cytotoxic Context in Neuroblastoma A mapping-certification-gated, preregistered survival-interaction protocol Mohammed El Amin Bouchelit Independent Researcher, Germany Protocol version: V5.0Hypothesis ID: GTIM_2026…
datacite
Bouchelit, Mohammed El Amin
2026
置信度 0.66
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The rapid integration of large language models into clinical medicine raises ethical, philosophical, and existential questions that extend beyond traditional concerns about patient safety and data privacy. These artificial intelligence systems now perform clin…
datacite
Heston, Thomas F
2026
置信度 0.66
artificial intelligencelarge language modelsgenerative AIMedical ethicsphysician-patient relationship
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The rapid integration of large language models into clinical medicine raises ethical, philosophical, and existential questions that extend beyond traditional concerns about patient safety and data privacy. These artificial intelligence systems now perform clin…
datacite
Heston, Thomas F
2026
置信度 0.66
artificial intelligencelarge language modelsgenerative AIMedical ethicsphysician-patient relationship
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A scoping review protocol mapping how artificial intelligence (AI/ML/DL) has been applied to technical quality assurance of diagnostic ultrasound equipment, including phantom-based equipment performance assessment and transducer defect detection. Reported acco…
datacite
Ji-hye Kim
2026
置信度 0.66
RadiologyMedicine and Health SciencesMedical SpecialtiesEngineeringBiomedical Engineering and Bioengineering
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The growing demand for accessible and intelligent healthcare solutions has increased the need for systems that can provide medical assistance in a simple, efficient, and user-friendly manner. Many individuals face difficulties in understanding medical reports,…
datacite
Mohd Talha Shaikh, Mohd Adib Tamboli, Parth Meshram, Shivam Chandelkar
2026
置信度 0.66
Artificial IntelligenceHealthcare Assistance SystemMedical Report AnalysisNatural Language ProcessingMachine Learning
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The growing demand for accessible and intelligent healthcare solutions has increased the need for systems that can provide medical assistance in a simple, efficient, and user-friendly manner. Many individuals face difficulties in understanding medical reports,…
datacite
Mohd Talha Shaikh, Mohd Adib Tamboli, Parth Meshram, Shivam Chandelkar
2026
置信度 0.66
Artificial IntelligenceHealthcare Assistance SystemMedical Report AnalysisNatural Language ProcessingMachine Learning
-
openalex
Florian Jungmann, Tobias Jorg, Felix Hähn, Daniel Pinto dos Santos 等
2020-05-13
置信度 0.72
Relevance (law)Protocol (science)Test (biology)Applications of artificial intelligencePsychology
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Machine learning techniques are increasingly gaining attention due to their widespread use in various disciplines across academia and industry. Despite their tremendous success, many such techniques suffer from the “black-box” problem, which refers to situatio…
openalex
Maria Sahakyan, Zeyar Aung, Talal Rahwan
2021-01-01
置信度 0.72
Computer scienceArtificial intelligence
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Artificial intelligence (AI) has birthed the new "big thing" in modern medicine. It promises to bring about safer and improved care that will be beneficial to patients and become a helpful tool in the hands of a skilled physician. Despite its anticipation, how…
openalex
Abidemi O Akinrinmade, Temitayo M Adebile, Chioma Ezuma-Ebong, Kafayat Bolaji 等
2023-09-20
置信度 0.72
AsideMedicineSAFERAnticipation (artificial intelligence)Prejudice (legal term)
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Chemists have to a large extent gained their knowledge by doing experiments and thus gather data. By putting various data together and then analyzing them, chemists have fostered their understanding of chemistry. Since the 1960s, computer methods have been dev…
openalex
Johann Gasteiger
2020-08-28
置信度 0.72
CheminformaticsChemistryProcess (computing)Computer scienceData science
-
openalex
Luis Inglada Galiana, Luís Corral-Gudino, P. Miramontes González
2024-02-23
置信度 0.72
Computer sciencePsychologyArtificial intelligence
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The implementation of artificial intelligence (AI) is driving significant transformation inside the administrative and clinical workflows of healthcare organizations at an accelerated rate. This modification highlights the significant impact that AI has on a v…
openalex
Fotis Kitsios, Maria Kamariotou, Aristomenis Syngelakis, Μichael A. Talias
2023-06-25
置信度 0.72
Health carePresentation (obstetrics)Applications of artificial intelligenceWorkflowContext (archaeology)
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Explainable AI (XAI) has the potential to transform healthcare by making AI-driven medical decisions more transparent, reliable, and ethically compliant. Despite its promise, the healthcare sector faces several challenges, including the need to balance interpr…
openalex
Ibomoiye Domor Mienye, George Obaido, Nobert Jere, Ebikella Mienye 等
2024-01-01
置信度 0.72
Health careData scienceComputer scienceManagement scienceArtificial intelligence
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Abstract Artificial intelligence (AI) has the potential to revolutionise the way states and international organisations seek to manage international migration. AI is gradually going to be used to perform tasks, including identity checks, border security and co…
openalex
Ana Beduschi
2020-01-20
置信度 0.72
ImmigrationIdentity (music)PoliticsFace (sociological concept)Political science
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BACKGROUND: Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easil…
openalex
Kai Wang, Gang Yu, C. Xu, Xiang‐He Meng 等
2021-03-22
置信度 0.72
MedicineArtificial intelligenceColorectal cancerConvolutional neural networkColonoscopy
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Over the last two decades, Artificial Intelligence (AI) approaches have been applied to various applications of the smart grid, such as demand response, predictive maintenance, and load forecasting. However, AI is still considered to be a “black-box” due to it…
openalex
Murat Kuzlu, Ümit Cali, Vinayak Sharma, Özgur Güler
2020-01-01
置信度 0.72
Photovoltaic systemComputer scienceSmart gridField (mathematics)Transparency (behavior)
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openalex
Cheng Wang, Chenlong Yao, Pengfei Chen, Jiamin Shi 等
2023-10-01
置信度 0.72
Computer scienceCoding (social sciences)Diagnosis codeMedical recordMedical classification
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Abstract Decision-making on numerous aspects of our daily lives is being outsourced to machine-learning (ML) algorithms and artificial intelligence (AI), motivated by speed and efficiency in the decision process. ML approaches—one of the typologies of algorith…
openalex
Samuele Lo Piano
2020-06-17
置信度 0.72
AccountabilityInterpretabilityTransparency (behavior)UnderpinningArtificial intelligence
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AIM: The early detection of oral cancer (OC) at the earliest stage significantly increases survival rates. Recently, there has been an increasing interest in the use of artificial intelligence (AI) technologies in diagnostic medicine. This study aimed to criti…
openalex
Natheer Al‐Rawi, Afrah Saleh Sultan, Batool Rajai, Haneen Shuaeeb 等
2022-05-14
置信度 0.72
Artificial intelligenceMachine learningMedicineDiagnostic accuracyComputer science
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INTRODUCTION: The goal of this paper is to present a critical review on the main systems that use artificial intelligence to identify groups at risk for osteoporosis or fractures. The systems considered for this study were those that fulfilled the following re…
openalex
Agnaldo S. Cruz, Hertz C. Lins, Ricardo V. A. Medeiros, José Macedo Filho 等
2018-01-29
置信度 0.72
Identification (biology)OsteoporosisComputer scienceMedicineArtificial intelligence
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Recently, significant improvements have been made in artificial intelligence. The artificial neural network was introduced in the 1950s. However, because of the low computing power and insufficient datasets available at that time, artificial neural networks su…
openalex
Joonmyeong Choi, Keewon Shin, Jinhoon Jung, Hyun‐Jin Bae 等
2020-03-30
置信度 0.72
Deep learningOverfittingArtificial intelligenceConvolutional neural networkComputer science
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The Artificial Intelligence in the medical field has revolutionized the industry. Recently, A. I. has interested medical practitioners in applying innovation to healthcare systems. A. I. has еmеrgеd as a transformative forcе, revolutionizing the industry by le…
openalex
Shridula Kapa
2023-01-01
置信度 0.72
StandardizationTransformative learningHealth careField (mathematics)Accountability
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Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI’s ChatGPT, that can be prompted to generate various types of content. In this narrative review, we present a selection of representative examples of generative AI applicati…
openalex
Peng Zhang, Maged N. Kamel Boulos
2023-08-24
置信度 0.72
Generative grammarComputer scienceDomain (mathematical analysis)NarrativeHealth care
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Purpose: Machine learning (ML) and deep learning (DL) can be utilized in radiology to help diagnosis and for predicting management and outcomes based on certain image findings. DL utilizes convolutional neural networks (CNN) and may be used to classify imaging…
openalex
Joseph Waller, A. D. O'Connor, Eleeza Raafat, Ahmad Amireh 等
2022-02-23
置信度 0.72
Artificial intelligenceConvolutional neural networkMedicineWorkloadMedical physics
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Healthcare systems are under increasing strain due to a myriad of factors, from a steadily ageing global population to the current COVID-19 pandemic. In a world where we have needed to be connected but apart, the need for enhanced remote and at-home healthcare…
openalex
Stephanie Baker, Wei Xiang
2023-01-01
置信度 0.72
Health careData scienceEngineering ethicsComputer scienceEngineering
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Artificial intelligence (AI) has demonstrated remarkable potential in transforming medical diagnostics across various healthcare domains. This paper explores AI applications in cancer detection, dental medicine, brain tumor database management, and personalize…
openalex
Peng Lean Chong, Vikneswaran Vaigeshwari, Basir Khan Mohammed Reyasudin, binti Ros Azamin Noor Hidayah 等
2025-07-04
置信度 0.72
Health carePrecision medicineComputer scienceData scienceMedicine
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Artificial Intelligence (AI) is rapidly being implemented into clinical practice to improve diagnostic accuracy and reduce provider burnout. However, patient self-perceived knowledge and perceptions of AI's role in their care remain unclear. This study aims to…
openalex
Kennedye N McGhee, D. Jonah Barrett, Omar Safarini, Asser Abou Elkassem 等
2025-08-07
置信度 0.72
Cross-sectional studyCenter (category theory)MedicineMedical physicsArtificial intelligence
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The enormous impact of artificial intelligence has been realized in transforming the fashion and apparel industry in the past decades. However, the research in this domain is scattered and mainly focuses on one of the stages of the supply chain. Due to this, i…
openalex
Chandadevi Giri, Sheenam Jain, Xianyi Zeng, Pascal Bruniaux
2019-01-01
置信度 0.72
Supply chainFast fashionComputer scienceClothingScopus
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Abstract Technology is being developed to support the peer review processes of journals, conferences, funders, universities, and national research evaluations. This literature and software summary discusses the partial or complete automation of several publish…
openalex
Kayvan Kousha, Mike Thelwall
2023-08-08
置信度 0.72
PublishingAutomationComputer sciencePeer reviewQuality (philosophy)
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The application of artificial intelligence (AI) in the medical mycology field represents a new era in the diagnosis and management of fungal infections. AI technologies, particularly machine learning (ML) and deep learning (DL) methods, enhance diagnostic accu…
openalex
Jemin Kim, Jihee Boo, Chang Ook Park
2024-09-30
置信度 0.72
MycologyCurrent (fluid)Medical mycologyMedical physicsEngineering ethics
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The aim of this paper is to present several approaches by which technology can assist medical decision-making. This is an essential, but also a difficult activity, which implies a large number of medical and technical aspects. But, more important, it involves …
openalex
Adriana Albu, Radu‐Emil Precup, Teodor-Adrian Teban
2019-11-29
置信度 0.72
Computer scienceField (mathematics)Artificial neural networkArtificial intelligenceProcess (computing)
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openalex
Ahmad Khanijahani, Shabnam Iezadi, Sage Dudley, Megan Goettler 等
2022-02-13
置信度 0.72
Health careKnowledge managementHealth professionalsPsychologyBusiness
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The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lacking wh…
openalex
Vincent Conitzer, Walter Sinnott‐Armstrong, Schaich Borg, Jana, Yuan Deng 等
2017-02-12
置信度 0.72
GeneralityVariety (cybernetics)Computer scienceDomain (mathematical analysis)Component (thermodynamics)
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Artificial intelligence (AI) integration in medical imaging is a promising field for enhancing patient care, performance, and efficiency. Radiographers, on the other hand, are concerned about AI's acceptance and potential to replace them. This study assessed r…
openalex
Hairenanorashikin Sharip, Wan Farah Wahida Che Zakaria, Sook Sam Leong, Maida Ali Masoud 等
2023-07-31
置信度 0.72
Field (mathematics)Knowledge managementArtificial intelligenceMedical educationPsychology
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The evolution of artificial intelligence (AI) has drastically changed the dynamics of today’s business world. One of the most significant applications of AI is in the field of marketing, which assists in enhancing performance. The current research aims at find…
openalex
Mahabub Shaik
2023-03-25
置信度 0.72
Marketing researchMarketingMarketing managementReturn on marketing investmentMarketing strategy
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BACKGROUND: This paper reviews recent literature employing Artificial Intelligence/Machine Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using automated image analysis. METHODS: Electronic database searches using MEDLINE via…
openalex
Hanya Mahmood, Muhammad Shaban, Nasir Rajpoot, Syed Ali Khurram
2021-04-19
置信度 0.72
MedicineLarynxHead and neck cancerArtificial intelligenceHead and neck
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The capabilities of Artificial Intelligence (AI) evolve rapidly and affect almost all sectors of society. AI has been increasingly integrated into criminal and harmful activities, expanding existing vulnerabilities, and introducing new threats. This article re…
openalex
Taís Fernanda Blauth, Oskar Josef Gstrein, Andrej Zwitter
2022-01-01
置信度 0.72
Computer securityComputer scienceResilience (materials science)MisinformationHacker
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Background: The healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding the integration of AI in future nursing care is cru…
openalex
Moustaq Karim Khan Rony, Ibne Kayesh, Shuvashish Das Bala, Fazila Akter 等
2024-02-01
置信度 0.72
Thematic analysisNursingViewpointsTransformative learningNursing research
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Explainable Artificial Intelligence (XAI) is increasingly important in computer vision, aiming to connect complex model outputs with human understanding. This review provides a focused comparative analysis of representative XAI methods in four main categories,…
openalex
Zhu Cheng, Yue Wu, Yule Li, Lingfeng Cai 等
2025-07-04
置信度 0.72
InterpretabilityComputer scienceArtificial intelligencePersonalizationMachine learning
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Recent years have seen a rise of techniques based on artificial intelligence (AI). With that have also come initiatives for guidance on how to develop "responsible AI" aligned with human and ethical values. Compared to sectors like energy, healthcare, or trans…
openalex
Neelke Doorn
2020-09-29
置信度 0.72
Water sectorDomain (mathematical analysis)Data scienceCitizen journalismManagement science
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This systematic review examines the recent use of artificial intelligence, particularly machine learning, in the management of operating rooms. A total of 22 selected studies from February 2019 to September 2023 are analyzed. The review emphasizes the signific…
openalex
Valentina Bellini, Michele Russo, Tania Domenichetti, Matteo Panizzi 等
2024-02-14
置信度 0.72
Transformative learningHealth informaticsHealth careArtificial intelligenceComputer science
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Background The use of artificial intelligence (AI) is not a recent phenomenon, but the latest advancements in this technology are making a significant impact across various fields of human knowledge. In medicine, this trend is no different, although it has dev…
openalex
Mateus Rodrigues Alessi, Heitor A Gomes, Matheus Lopes de Castro, Cristina Terumy Okamoto
2024-07-19
置信度 0.72
PaceClearanceMedicineTest (biology)Observational study
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BACKGROUND: Artificial intelligence (AI) enables remote patient monitoring (RPM) which reduces costs by triaging patients to optimize hospitalization and avoid complications. The FDA regulates AI in medical devices and aims to ensure patient safety, effectiven…
openalex
Ayushmaan Dubey, Anuj Tiwari
2023-05-03
置信度 0.72
Transparency (behavior)Computer scienceProduct (mathematics)Artificial intelligenceMedicine
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Artificial intelligence (AI) is a powerful technology that can assist physicians with the practice of medicine.Use of the technology has grown in recent years and has powerful potential.Medical AI typically functions as a type of "machine-learning" that relies…
openalex
Scott J. Schweikart
2021-01-01
置信度 0.72
TortMedical malpracticeMalpracticeLawMedicine
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Abstract Understanding individual differences in attitudes towards Artificial Intelligence (AI) is of importance, among others in system development. Against this background, we sought to investigate associations between personality and attitudes towards AI. R…
openalex
Cornelia Sindermann, Haibo Yang, Jon D. Elhai, Shixin Yang 等
2022-01-31
置信度 0.72
NeuroticismAgreeablenessPsychologyPersonalityBig Five personality traits
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In order to address some existing problems in computer-aided medical decision making, a computer program called NESTOR has been developed to aid physicians in determining the most likely diagnostic hypothesis to account for a set of patient findings. The domai…
openalex
Gregory F. Cooper
1984-11-01
置信度 0.72
Computer scienceExpert systemProbabilistic logicSet (abstract data type)Domain (mathematical analysis)
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In both athletics and daily life, shoes are crucial. Recently, smart sneakers have also taken on a certain trend among both sportsmen and the general public. Therefore, it has actually become crucial to classify shoes in a way that enables industry specialists…
openalex
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, Rupesh Gupta
2023-05-05
置信度 0.72
ViewpointsComputer scienceArtificial intelligenceCategorizationMachine learning
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Artificial intelligence (AI) is the ability of a machine or computer system to simulate and perform tasks that would normally require human intelligence, such as logical reasoning, learning, and problem solving. Artificial intelligence is based on the use of m…
openalex
Fabio Morandín-Ahuerma
2022-01-01
置信度 0.72
Artificial intelligenceComputer scienceArtificial general intelligenceSuperlativeCognition
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Artificial intelligence can use real-world data to create models capable of making predictions and medical diagnosis for diabetes and its complications. The aim of this commentary article is to provide a general perspective and present recent advances on how a…
openalex
Jingtong Huang, Andrea M. Yeung, David G. Armstrong, Ashley N. Battarbee 等
2022-09-19
置信度 0.72
MedicineDiabetes mellitusGestational diabetesNephropathyHypoglycemia
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Purpose Nowadays, the digitized economy and technological advancements are increasing at a faster pace. One such technology that is gaining popularity in the healthcare sector is Artificial Intelligence (AI). AI has been debated much, searched so well due to t…
openalex
Chokri Kooli, Hend Al Muftah
2022-03-03
置信度 0.72
Health carePaceHarmPopularityCredibility
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Medical artificial intelligence (AI) systems frequently lack systematic domain expertise integration, potentially compromising diagnostic reliability. This study presents an ontology-based framework for bone disease diagnosis, developed in collaboration with H…
openalex
Loan Dao, Ngoc Quoc Ly
2025-06-05
置信度 0.72
InterpretabilityComputer scienceArtificial intelligenceTerminologyOntology
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To comprehensively assess Checklist for Artificial Intelligence in Medical Imaging (CLAIM) adherence in medical imaging artificial intelligence (AI) literature by aggregating data from previous systematic and non-systematic reviews. METHODSA systematic search …
openalex
Burak Koçak, Fadime Köse, Ali Keleş, Abdurrezzak Şendur 等
2025-02-10
置信度 0.72
MedicineChecklistMEDLINEMedical physicsCognitive psychology
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Is artificial intelligence (AI) on track to usurp the electronic health record (EHR) as the most disappointing application of technology within medicine? The medical literature is increasingly populated with perspective pieces lauding the transformative nature…
openalex
Christopher V. Cosgriff, David J. Stone, Gary E. Weissman, Romain Pirracchio 等
2020-07-01
置信度 0.72
Transformative learningPerspective (graphical)Artificial intelligenceTrack (disk drive)Psychology
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This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a socially assistive robot designed to provide companionship for older adu…
openalex
Hojjat Abdollahi, Mohammad H. Mahoor, Rohola Zandie, Jarid Siewierski 等
2022-01-18
置信度 0.72
PsychologyFacial expressionEmotional intelligenceConversationEmotional expression
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Artificial intelligence (AI) has the potential to strongly modify or even transform the landscape of medicine. Judicious utilization of AI can further propel progress in medical research, facilitate precision medicine, and optimize clinical workflow—the applic…
openalex
Brandon Ngo, Diep Nguyen, Eric vanSonnenberg
2021-01-01
置信度 0.72
Inclusion (mineral)PsychologyMedical educationMathematics educationMedicine
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Air pollution is a major issue all over the world because of its impacts on the environment and human beings. The present review discussed the sources and impacts of pollutants on environmental and human health and the current research status on environmental …
openalex
S. Shankar, Naveenkumar Raju, Abbas Ganesan, R. Nithyaprakash 等
2022-08-11
置信度 0.72
Artificial neural networkComputer scienceAir pollutionHuman healthWarning system
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Machine and deep learning have proven their utility to generate data-driven models with high accuracy and precision. However, their non-linear, complex structures are often difficult to interpret. Consequently, many scholars have developed a plethora of method…
openalex
Giulia Vilone, Luca Longo
2021-08-04
置信度 0.72
Computer scienceVariety (cybernetics)Artificial intelligenceDimension (graph theory)Task (project management)
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The provision of up-to-date medical information on digital technology and AI systems in journals, clinical practices, and textbooks informing radiologists about patient care has resulted in faster, more reliable, and cheaper image interpretation. This study re…
openalex
Rani Ahmad
2021-01-01
置信度 0.72
MedicineRadiological weaponScholarshipApplications of artificial intelligenceClinical Practice
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This paper has reviewed the development of artificial intelligence in medical practice and medical diagnostic expert systems, and has summarized the application of artificial neural network. It explains that a source of difficulty in medical diagnostic system …
openalex
Zhencheng Chen, Yong Jiang, Mingyu Xu, Hongyan Wang 等
2002-09-01
置信度 0.72
Expert systemComputer scienceArtificial intelligenceMedical imagingMedical science
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Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and efficiency of care and services and to build learning and value-based health systems. Many studies have examined the technical performance of AI within an experimental co…
openalex
Hassane Alami, Pascale Lehoux, Yannick Auclair, Michèle de Guise 等
2020-05-13
置信度 0.72
Value propositionContext (archaeology)Knowledge managementHealth careSoftware deployment
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Artificial intelligence (AI) is rapidly transforming the field of radiology, offering significant advancements in diagnostic accuracy, workflow efficiency, and patient care. This article explores AI's impact on various subfields of radiology, emphasizing its p…
openalex
Abhiyan Bhandari
2024-10-29
置信度 0.72
MedicineMedical physicsRadiologyArtificial intelligenceComputer science
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The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in>3 million deaths so far. Improving early screening, diagnosis and prognosis of the disease are critical steps in assisting healthcare professionals to save lives during this pandemic. S…
openalex
Eleni Adamidi, Konstantinos Mitsis, Konstantina S. Nikita
2021-01-01
置信度 0.72
PandemicGuidelineCoronavirus disease 2019 (COVID-19)MedicineHealth care
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openalex
Scott Monteith, Tasha Glenn, John Geddes, Peter C. Whybrow 等
2022-10-10
置信度 0.72
WorkflowTransformative learningDeskillingMaturity (psychological)Artificial intelligence
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Artificial Intelligence (AI) in healthcare marks a new era of innovation and efficiency, characterized by the emergence of sophisticated language models such as ChatGPT (OpenAI, San Francisco, CA, USA), Gemini Advanced (Google LLC, Mountain View, CA, USA), and…
openalex
Anas Alhur
2024-04-07
置信度 0.72
Health careTransformative learningInteroperabilityWorkflowAnalytics
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Artificial Intelligence (AI) is a technological domain wherein computer systems emulate human cognitive capabilities to execute tasks previously reliant on human intellect. Referred to as smart machines, these entities exhibit the intelligence to autonomously …
openalex
Mawuli Agboklu
2024-01-01
置信度 0.72
Artificial intelligenceComputer scienceEngineering
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Background: Low delivery efficiency of nanoparticles (NPs) to the tumor is a critical barrier in the field of cancer nanomedicine. Strategies on how to improve NP tumor delivery efficiency remain to be determined. Methods: This study analyzed the roles of NP p…
openalex
Zhoumeng Lin, Wei-Chun Chou, Yi-Hsien Cheng, Chunla He 等
2022-03-01
置信度 0.72
NanomedicineArtificial intelligenceMachine learningComputer scienceApplications of artificial intelligence
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Generative Artificial Intelligence (GAI) has brought revolutionary changes to the world, enabling businesses to create new experiences by combining virtual and physical worlds. As the use of GAI grows along with the Metaverse, it is explored by academics, rese…
openalex
Subhra R. Mondal, Subhankar Das, Vasiliki Vrana
2023-03-17
置信度 0.72
MetaverseConversationGenerative grammarKnowledge managementValue (mathematics)
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The integration of artificial intelligence (AI) and deep learning techniques into medical imaging has revolutionized disease detection and diagnosis. This paper provides a comprehensive overview of the applications of deep learning in medical imaging and its i…
openalex
Abhinav Deshmukh
2024-06-30
置信度 0.72
Deep learningArtificial intelligenceConvolutional neural networkWorkflowMedical imaging
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openalex
The Lancet
2017-12-01
置信度 0.72
Artificial intelligenceComputer scienceField (mathematics)TuringData science
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(1) Background: The rapid pace of digital development in everyday life is also reflected in dentistry, including the emergence of the first systems based on artificial intelligence (AI). This systematic review focused on the recent scientific literature and pr…
openalex
Selina A. Bernauer, Nicola U. Zitzmann, Tim Joda
2021-10-05
置信度 0.72
ProsthodonticsMEDLINEFixed prosthodonticsSystematic reviewComputer science
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Artificial intelligence (AI) is finding more uses in the human society resulting in a need to scrutinise the relationship between humans and AI. Technology itself has advanced from the mere encoding of human knowledge into a machine to designing machines that …
openalex
Hussein A. Abbass
2019-01-14
置信度 0.72
AutonomyAutomationComputer scienceArtificial intelligenceCognitive science
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Dear Editor, As dedicated readers of the Medical Journal of Babylon, we find it imperative to illuminate the captivating domain of generative artificial intelligence (GenAI) and its ever-growing impact on academic medical prose. As humanity progresses along th…
openalex
Ahmed Al-Imam, Nawfal Al-Hadithi, Faisel Alissa, Michał Michalak
2023-07-01
置信度 0.72
RealmArtificial intelligenceGenerative grammarComputer scienceDeep learning
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Importance: Early warning decision support tools to identify clinical deterioration in the hospital are widely used, but there is little information on their comparative performance. Objective: To compare 3 proprietary artificial intelligence (AI) early warnin…
openalex
Dana P. Edelson, Matthew M. Churpek, Kyle A. Carey, Zhenqiu Lin 等
2024-10-15
置信度 0.72
Early warning scoreMewsMedicineReceiver operating characteristicWarning system
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Acute kidney injury (AKI) is a frequent complication in hospitalized patients, which is associated with worse short and long-term outcomes. It is crucial to develop methods to identify patients at risk for AKI and to diagnose subclinical AKI in order to improv…
openalex
Joana Gameiro, Tiago Branco, José António Lopes
2020-03-03
置信度 0.72
MedicineAcute kidney injurySubclinical infectionIntensive care medicineInformatics
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Machine Intelligence (MI) is rapidly becoming an important approach across biomedical discovery, clinical research, medical diagnostics/devices, and precision medicine. Such tools can uncover new possibilities for researchers, physicians, and patients, allowin…
openalex
Christine M. Cutillo, Karlie R. Sharma, Luca Foschini, Shinjini Kundu 等
2020-03-26
置信度 0.72
Transparency (behavior)WorkflowHealth careUsabilityContext (archaeology)
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BACKGROUND: Opinions seem somewhat divided when considering the effect of artificial intelligence (AI) on medical imaging. The aim of this study was to characterise viewpoints presented online relating to the impact of AI on the field of radiology and to asses…
openalex
Philip Mulryan, Naomi Ni Chleirigh, Alexander T. O’Mahony, Claire Crowley 等
2022-04-25
置信度 0.72
ViewpointsRSSInformation retrievalConsistency (knowledge bases)Web page
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The COVID-19 pandemic has sparked a barrage of primary research and reviews. We investigated the publishing process, time and resource wasting, and assessed the methodological quality of the reviews on artificial intelligence techniques to diagnose COVID-19 in…
openalex
Paweł Jemioło, Dawid Storman, Patryk Orzechowski
2022-04-06
置信度 0.72
MedicineCredibilityData extractionCoronavirus disease 2019 (COVID-19)Pandemic