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Aims/Background: The growing integration of artificial intelligence (AI) into clinical medicine has opened new possibilities for enhancing diagnostic accuracy, therapeutic decision-making, and biomedical innovation across several domains. This review is aimed …
openalex
Eren Öğüt
2025-09-16
置信度 0.72
MedicineClinical decision support systemMEDLINEMedical physicsArtificial intelligence
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In this mini-review, we delve into the transformative impact of artificial intelligence (AI) and machine learning (ML) in the field of microbiology. The paper provides a brief overview of various domains where AI is reshaping practices, including clinical diag…
openalex
Virna-Maria Tsitou, Dimitrios Rallis, Mariana Tsekova, Nikolay Yanev
2024-05-12
置信度 0.72
Clinical microbiologyMicrobiologyMedical microbiologyBiology
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Organ-on-a-chip (OOC) is a new type of biochip technology. Various types of OOC systems have been developed rapidly in the past decade and found important applications in drug screening and precision medicine. However, due to the complexity in the structure of…
openalex
Wanying Gao, Chunyan Wang, Qiwei Li, Xijing Zhang 等
2022-09-12
置信度 0.72
Medical imagingComputer scienceArtificial intelligenceTissue engineeringDeep learning
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Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, self-care, prevention and wellness, clinical decision support…
openalex
Giuliana Ferrante, Amelia Licari, Salvatore Fasola, Gian Luigi Marseglia 等
2020-11-21
置信度 0.72
MedicineApplications of artificial intelligenceRelevance (law)Health careMEDLINE
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Professionals are implementing artificial intelligence (AI) technology in different fields owing to its diverse uses and benefits. Similarly, AI professionals are also beginning to implement AI technology in foreign-language education and second-language learn…
openalex
Sultan Almelhes
2023-05-01
置信度 0.72
PronunciationLanguage acquisitionComputer scienceArtificial intelligenceForeign language
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The deployment of artificial intelligence (AI) has the potential to make nuclear medicine and medical imaging faster, cheaper, and both more effective and more accessible. This is possible, however, only if clinicians and patients feel that these AI medical de…
openalex
Jonathan Herington, Melissa D. McCradden, Kathleen Creel, Ronald Boellaard 等
2023-08-24
置信度 0.72
Software deploymentAutonomyTransparency (behavior)AccountabilityEconomic Justice
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BACKGROUND: Healthcare providers have to make ethically complex clinical decisions which may be a source of stress. Researchers have recently introduced Artificial Intelligence (AI)-based applications to assist in clinical ethical decision-making. However, the…
openalex
Lasse Benzinger, Frank Ursin, Wolf‐Tilo Balke, Tim Kacprowski 等
2023-07-06
置信度 0.72
BeneficencePhilosophy of medicineEconomic JusticeDeliberationAutonomy
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Artificial intelligence medical diagnostic devices (AIMDDs) show strong potential but face barriers to clinical use, emphasizing the need for rigorous clinical research. We assessed current AIMDD research, key challenges, and future directions. A scoping revie…
openalex
Xiaowei Zhang, Xiaowei Zhang, Changning Liu, Yifan Sun 等
2026-01-24
置信度 0.72
StandardizationSystematic reviewMEDLINEArtificial intelligenceMedicine
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Medical imaging is a key component in clinical diagnosis, treatment planning and clinical trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance gains in medical image analysis (MIA) over the last years. CNNs can efficiently …
openalex
Giorgos Papanastasiou, Νικόλαος Δικαίος, Jiahao Huang, Chengjia Wang 等
2023-12-29
置信度 0.72
Computer scienceTransformerData scienceArtificial intelligenceMachine learning
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AIM: This study aimed to evaluate and compare the validity and reliability of responses provided by GPT-3.5, Google Bard, and Bing to frequently asked questions (FAQs) in the field of endodontics. METHODOLOGY: FAQs were formulated by expert endodontists (n = 1…
openalex
Hossein Mohammad‐Rahimi, Seyed AmirHossein Ourang, Mohamad Amin Pourhoseingholi, Omid Dianat 等
2023-12-20
置信度 0.72
EndodonticsReliability (semiconductor)Computer scienceEngineeringArtificial intelligence
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BACKGROUND: Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activities, such as prediction-classification in many areas of …
openalex
Hatice Kök, Ayşe Merve Acılar, Mehmet Said İzgi
2019-11-14
置信度 0.72
Cervical vertebraeDecision treeArtificial intelligenceSupport vector machineAlgorithm
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Background: Cutting-edge digital technologies are being actively introduced into healthcare. The recent successful efforts of artificial intelligence in diagnosing, predicting and studying diseases, as well as in surgical assisting demonstrate its high efficie…
openalex
Vasiliy A. Laptev, И. В. Ершова, Daria Rinatovna Feyzrakhmanova
2021-12-29
置信度 0.72
Scope (computer science)LiabilityHealth careEngineering ethicsState (computer science)
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In recent years, the overwhelming growth of solar photovoltaics (PV) energy generation as an alternative to conventional fossil fuel generation has encouraged the search for efficient and more reliable operation and maintenance practices, since PV systems requ…
openalex
Ahmad Abubakar, Carlos Frederico Meschini Almeida, Matheus Mingatos Fernandes Gemignani
2021-12-01
置信度 0.72
Photovoltaic systemPhotovoltaicsFault detection and isolationReliability engineeringComputer science
-
openalex
Chayakrit Krittanawong, Mehmet Aydar, Hafeez Ul Hassan Virk, Anirudh Kumar 等
2021-11-30
置信度 0.72
BlockchainBig dataCryptocurrencyData scienceComputer science
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BACKGROUND: Radiomics is a rapidly growing field used to leverage medical radiological images by extracting quantitative features. These are supposed to characterize a patient's phenotype, and when combined with artificial intelligence techniques, to improve t…
openalex
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, Alhadi Almangush 等
2024-04-23
置信度 0.72
RadiomicsHead and neck cancerHead and neckMedicineCurrent (fluid)
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The debate about the ethical implications of Artificial Intelligence dates from the 1960s (Samuel in Science, 132(3429):741-742, 1960. https://doi.org/10.1126/science.132.3429.741 ; Wiener in Cybernetics: or control and communication in the animal and the mach…
openalex
Jessica Morley, Luciano Floridi, Libby Kinsey, Anat Elhalal
2019-12-11
置信度 0.72
BeneficenceMainstreamEngineering ethicsAutonomyTypology
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Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning and deep learning, AI-based DTI prediction can significantly enhance speed, reduce costs, and screen potential d…
openalex
Qian Liao, Yu Zhang, Ying Chu, Yi Ding 等
2025-01-13
置信度 0.72
DrugArtificial intelligenceComputer scienceDrug targetMachine learning
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Cancer care increasingly relies on imaging for patient management. The two most common cross-sectional imaging modalities in oncology are computed tomography (CT) and magnetic resonance imaging (MRI), which provide high-resolution anatomic and physiological im…
openalex
Ramesh Paudyal, Akash Shah, Oğuz Akın, Richard Kinh Gian 等
2023-04-30
置信度 0.72
Medical physicsMedicineMagnetic resonance imagingMedical imagingRadiology
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In recent times, composite indicators have gained astounding popularity in a wide variety of research areas. Their adoption by global institutions has further captured the attention of the media and policymakers around the globe, and their number of applicatio…
openalex
Salvatore Greco, Alessio Ishizaka, Menelaos Tasiou, Gianpiero Torrisi
2018-01-17
置信度 0.72
PopularityRobustness (evolution)Variety (cybernetics)CriticismGlobe
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Plant diseases and pests are important factors determining the yield and quality of plants. Plant diseases and pests identification can be carried out by means of digital image processing. In recent years, deep learning has made breakthroughs in the field of d…
openalex
Jun Liu, Xuewei Wang
2021-02-24
置信度 0.72
Deep learningArtificial intelligenceIdentification (biology)Computer scienceField (mathematics)
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Biomedical research yields vast information, much of which is only accessible through the literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent improvements in artificial intelligence (AI) have expanded functionality bey…
openalex
Qiao Jin, Robert Leaman, Zhiyong Lu
2024-02-01
置信度 0.72
BiomedicineData scienceComputer scienceMeaning (existential)MEDLINE
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Personas have successfully supported the development of classical user interfaces for more than two decades by mapping users’ mental models to specific contexts. The rapid proliferation of Artificial Intelligence (AI) applications makes it necessary to create …
openalex
Andreas Holzinger, Michaela Kargl, Bettina Kipperer, Peter Regitnig 等
2022-01-01
置信度 0.72
PersonaComputer scienceToolboxHuman–computer interactionArtificial intelligence
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openalex
Shihui Feng, Nancy Law
2021-03-15
置信度 0.72
Computer scienceLearning analyticsField (mathematics)Artificial intelligenceData science
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Originally proposed by John McCarthy in 1955, artificial intelligence (AI) has achieved a breakthrough and revolutionized the processing methods of clinical medicine with the increasing workloads of medical records and digital images. Doctors are paying attent…
openalex
Jiasheng Cao, Ziyi Lu, Mingyu Chen, Bin Zhang 等
2021-04-21
置信度 0.72
HepatologyMedicineInternal medicineMedical physicsMEDLINE
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Owing to the exceptional porous properties of metal-organic frameworks (MOFs), there has recently been a surge of interest, evidenced by a plethora of research into their design, synthesis, properties, and applications. This expanding research landscape has dr…
openalex
Zongsu Han, Yihao Yang, Joshua Rushlow, Jiatong Huo 等
2024-11-25
置信度 0.72
Metal-organic frameworkScale (ratio)NanotechnologyComputer scienceMaterials science
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Adverse drug events (ADEs) represent one of the most prevalent types of health-care-related harm, and there is substantial room for improvement in the way that they are currently predicted and detected. We conducted a scoping review to identify key use cases i…
openalex
Ania Syrowatka, Wenyu Song, Mary G. Amato, Dinah Foer 等
2021-11-23
置信度 0.72
HarmKey (lock)Computer scienceArtificial intelligenceData science
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Keratoconus is a bilateral and asymmetric disease which results in progressive thinning and steeping of the cornea leading to irregular astigmatism and decreased visual acuity. Traditionally, the condition has been described as a noninflammatory disease; howev…
openalex
Jacinto Santodomingo‐Rubido, Gonzalo Carracedo, Asaki Suzaki, César Villa-Collar 等
2022-01-04
置信度 0.72
KeratoconusMedicineOphthalmologyCorneaCorneal topography
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Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise …
openalex
Xi Vincent Wang, Lihui Wang
2021-02-15
置信度 0.72
PandemicRoboticsLeverage (statistics)Coronavirus disease 2019 (COVID-19)Artificial intelligence
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At the end of 2022, the appearance of ChatGPT, an artificial intelligence (AI) chatbot with amazing writing ability, caused a great sensation in academia. The chatbot turned out to be very capable, but also capable of deception, and the news broke that several…
openalex
Ju Yoen Lee
2023-02-27
置信度 0.72
ChatbotComputer sciencePerspective (graphical)World Wide WebDeception
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BACKGROUND: A comprehensive overview of artificial intelligence (AI) for cardiovascular disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external validation are lacking. This systematic review aims to identify, describe, and a…
openalex
Yue Cai, Yuqing Cai, Liying Tang, Yihan Wang 等
2024-02-05
置信度 0.72
MedicineArtificial intelligenceMachine learningPredictive modellingData extraction
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OBJECTIVE: To investigate the general population's view on the use of artificial intelligence (AI) for the diagnostic interpretation of screening mammograms. METHODS: Dutch women aged 16 to 75 years were surveyed using the Longitudinal Internet Studies for the…
openalex
Yfke Ongena, Derya Yakar, Marieke Haan, Thomas C. Kwee
2020-10-12
置信度 0.72
MammographyPopulationReading (process)Interpretation (philosophy)Medicine
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Abstract This paper sets out an account of trust in AI as a relationship between clinicians, AI applications, and AI practitioners in which AI is given discretionary authority over medical questions by clinicians. Compared to other accounts in recent literatur…
openalex
Philip J. Nickel
2022-01-24
置信度 0.72
NormativeSketchComputer scienceArtificial intelligencePsychology
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Clinical decision-making in oncology is complex, requiring the integration of multimodal data and multidomain expertise. We developed and evaluated an autonomous clinical artificial intelligence (AI) agent leveraging GPT-4 with multimodal precision oncology to…
openalex
Dyke Ferber, Omar S. M. El Nahhas, Georg Wölflein, Isabella C. Wiest 等
2025-06-06
置信度 0.72
Artificial intelligenceClinical decision makingComputer scienceKRASPrecision oncology
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Artificial intelligence (AI) refers to the simulation of human intelligence in machines, using machine learning (ML), deep learning (DL) and neural networks (NNs). AI enables machines to learn from experience and perform human-like tasks. The field of AI resea…
openalex
Tim Hulsen
2022-11-19
置信度 0.72
Artificial intelligenceComputer scienceBiomedicineStandardizationBig data
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openalex
Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young 等
2021-05-11
置信度 0.72
Process (computing)Artificial intelligenceInterpretation (philosophy)LegislatureComputer science
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Preterm birth is the leading cause of neonatal death. It is challenging to predict preterm birth. We elucidated the state of artificial intelligence research on the prediction of preterm birth, clarifying the predictive values and accuracy. We performed a syst…
openalex
Munetoshi Akazawa, Kazunori Hashimoto
2022-06-01
置信度 0.72
MedicineArtificial intelligenceMachine learningArtificial neural networkDeep learning
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With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare systems have emerged, including the integration of healthcare systems with capital, the introduction of healthcare …
openalex
Wei‐Hsun Wang, Wen-Shin Hsu
2023-06-26
置信度 0.72
Health careWearable computerWearable technologyKnowledge managementSystem integration
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Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are a…
openalex
Maria Virvou
2023-04-07
置信度 0.72
UsabilityComputer scienceAutonomyReciprocity (cultural anthropology)User experience design
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Background and Objective: Machine learning (ML) models are increasingly being utilized in oncology research for use in the clinic. However, while more complicated models may provide improvements in predictive or prognostic power, a hurdle to their adoption are…
openalex
Colton Ladbury, Reza Zarinshenas, Hemal Semwal, A. C. Tam 等
2022-10-01
置信度 0.72
InterpretabilityComputer scienceWorkflowIdentification (biology)Feature selection
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BACKGROUND: Poor quality primary health care is a major issue in China, particularly in blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve primary care services and reduce unnecessary re…
openalex
Tiantian Ye, Jiaolong Xue, Mingguang He, Jing Gu 等
2019-10-17
置信度 0.72
Structural equation modelingConfirmatory factor analysisPsychosocialPsychologyConstruct validity
-
openalex
Anto Čartolovni, Ana Tomičić, Elvira Lazić Mosler
2022-03-14
置信度 0.72
CINAHLHealth carePsycINFOAccountabilityTransparency (behavior)
-
openalex
Matthew Li, Syed Rakin Ahmed, Edwin Choy, Santiago A. Lozano‐Calderón 等
2021-05-19
置信度 0.72
Multidisciplinary approachMedicineRadiomicsArtificial intelligenceBone scintigraphy
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Social presence, or the feeling of being there with a "real" person, is a crucial component of interactions that take place in virtual reality. This paper reviews the concept, antecedents, and implications of social presence, with a focus on the literature reg…
openalex
Catherine S. Oh, Jeremy N. Bailenson, Greg Welch
2018-10-15
置信度 0.72
FeelingFocus (optics)Computer scienceComponent (thermodynamics)Social psychology
-
openalex
Ankush D. Jamthikar, Deep Gupta, Luca Saba, Narendra N. Khanna 等
2020-10-08
置信度 0.72
Risk assessmentPredictive powerPredictive modellingFlexibility (engineering)Artificial intelligence
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BACKGROUND: Artificial intelligence (AI), a branch of computer science, has been of growing research interest since its introduction to healthcare disciplines in the 1970s. Research has demonstrated that the application of such technologies has allowed for gre…
openalex
Hatzimanolis Jessica, Riley Britney, El-Den Sarira, Parisa Aslani 等
2024-12-17
置信度 0.72
PharmacyCurrent (fluid)Computer scienceData scienceEngineering ethics
-
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding ac…
openalex
Debby Cotton, Peter A. Cotton, J. Reuben Shipway
2023-03-13
置信度 0.72
CheatingAcademic dishonestyAcademic integrityHonestyEngineering ethics
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ABSTRACT: Artificial intelligence (AI) is the most revolutionizing development in the health care industry in the current decade, with diagnostic imaging having the greatest share in such development. Machine learning and deep learning (DL) are subclasses of A…
openalex
Ahmed W. Moawad, David T. Fuentes, Mohamed G. ElBanan, Ahmed S. Shalaby 等
2022-01-01
置信度 0.72
Artificial intelligenceConvolutional neural networkMedical imagingDeep learningWorkflow
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Flexible wearable sweat sensors allow continuous, real-time, noninvasive detection of sweat analytes, provide insight into human physiology at the molecular level, and have received significant attention for their promising applications in personalized health …
openalex
Fupeng Gao, Chunxiu Liu, Lichao Zhang, Tiezhu Liu 等
2022-12-31
置信度 0.72
Wearable computerWearable technologyNanotechnologyComputer scienceMaterials science
-
openalex
Todd Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin 等
2023-03-23
置信度 0.72
GliomaMedicineATRXHistologyDiffuse optical imaging
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Shuang Ren, Riikka M. Sarala, Paul Hibbert The advent of generative artificial intelligence (GAI) has sparked both enthusiasm and anxiety as different stakeholders grapple with the potential to reshape the business and management landscape. This dynamic discou…
openalex
Olivia Brown, Robert M. Davison, Stephanie Decker, David A. Ellis 等
2024-01-01
置信度 0.72
Anticipation (artificial intelligence)Business intelligenceComputer scienceGenerative grammarKnowledge management
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Predictive computing tools are increasingly being used and have demonstrated successfulness in providing insights that can lead to better health policy and management. However, as these technologies are still in their infancy stages, slow progress is being mad…
openalex
Zaheer Allam, Gourav Dey, David S. Jones
2020-04-13
置信度 0.72
SurpriseCoronavirus disease 2019 (COVID-19)ChinaData scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
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openalex
Richard Dybowski, Vanya Gant
1995-11-01
置信度 0.72
Computer scienceTurnaround timeHousekeepingAutomationMicroprocessor
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OBJECTIVES: This review aims to share the current developments of artificial intelligence (AI) solutions in the field of medico-dental diagnostics of the face. The primary focus of this review is to present the applicability of artificial neural networks (ANN)…
openalex
Raphael Patcas, Michael M. Bornstein, Marc Schätzle, Radu Timofte
2022-09-24
置信度 0.72
Face (sociological concept)NarrativeNarrative reviewMedicineDentistry
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During the past decade, researchers have investigated the use of computer-aided mammography interpretation. With the application of deep learning technology, artificial intelligence (AI)-based algorithms for mammography have shown promising results in the quan…
openalex
Jung Hyun Yoon, Eun‐Kyung Kim
2021-01-01
置信度 0.72
MedicineMammographyBreast cancerIncidence (geometry)Breast cancer screening
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The COVID-19 pandemic has created unprecedented challenges worldwide. Artificial intelligence (AI) technologies hold tremendous potential for tackling key aspects of pandemic management and response. In the present review, we discuss the tremendous possibiliti…
openalex
Chenrui Lv, Wenqiang Guo, Xinyi Yin, Liu Liu 等
2024-02-21
置信度 0.72
PandemicRepurposingBig dataData scienceComputer science
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Artificial intelligence (AI) is the science and engineering of making intelligent machines. In medical education, the usefulness of AI and its applications is being explored in training, learning, simulation, curriculum, and developing new assessment tools. Th…
openalex
Samy A. Azer, Anthony P. S. Guerrero
2023-09-19
置信度 0.72
CurriculumApplications of artificial intelligenceComputer scienceEngineering ethicsMedical education
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It has been a year since the launch of Chat Generator Pre-Trained Transformer (ChatGPT), a generative artificial intelligence (AI) program. The introduction of this cross-generational product initially brought a huge shock to people with its incredible potenti…
openalex
Songtao Tan, Xin Xin, Di Wu
2024-03-19
置信度 0.72
MedicineEngineering ethicsNormativeField (mathematics)Health care
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Abstract Purpose Since November 2022, generative artificial intelligence (AI) chatbots, such as ChatGPT, that are powered by large language models (LLM) have been the subject of growing attention in healthcare. Using biomedical ethical principles to frame our …
openalex
Charlotte Blease, Adam Rodman
2024-12-09
置信度 0.72
Generative grammarPsychologyMental health careNeurologyMental health
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Current and future healthcare professionals are generally not trained to cope with the proliferation of artificial intelligence (AI) technology in healthcare. To design a curriculum that caters to variable baseline knowledge and skills, clinicians may be conce…
openalex
Faye Yu Ci Ng, Arun James Thirunavukarasu, Haoran Cheng, Ting Fang Tan 等
2023-10-01
置信度 0.72
CurriculumWorkforceHealth careKnowledge managementLiteracy
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OBJECTIVE: This review was conducted to systematically summarize the progress made by artificial intelligence technology in early screening based medical imaging, pathological diagnosis, genomics inspection, prognostic evaluation, and individual treatment of l…
openalex
Huixian Zhang, Die Meng, Siqi Cai, Haoyue Guo 等
2021-05-01
置信度 0.72
Lung cancerNarrativeMedicineNarrative reviewCancer
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The application of artificial intelligence (AI) technologies in scientific research has significantly enhanced efficiency and accuracy but also introduced new forms of academic misconduct, such as data fabrication and text plagiarism using AI algorithms. These…
openalex
Ziyu Chen, Chang-ye Chen, Guozhao Yang, Xiangpeng He 等
2024-07-05
置信度 0.72
Transparency (behavior)Scientific misconductEngineering ethicsResearch ethicsResearch integrity
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Artificial intelligence is the science of making machines that can think and act same as like humans. ‘Artificial’ are the objects created by the human beings and ‘Intelligence’ is the capability to perform the given task by interacting with a huge information…
openalex
Miss. Aboli Sanjay Gujar, Chinmay R. Sambhe, Miss. Tanmayi Ajay Dubey
2024-01-01
置信度 0.72
Medical imagingArtificial intelligenceComputer scienceCognitive scienceData science
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Over the decades, Artificial Intelligence (AI) and machine learning has become a transformative solution in many sectors, services, and technology platforms in a wide range of applications, such as in smart healthcare, financial, political, and surveillance sy…
openalex
Sakib Shahriar, Sonal Allana, Seyed Mehdi Hazratifard, Rozita Dara
2023-01-01
置信度 0.72
Information privacyComputer sciencePrivacy by DesignTransparency (behavior)Legislation
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Abstract Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes domains, including credit-risk assessment and medical diagnostics. Consequently, AI systems increasingly affect humans, yet many state-of-the-art systems lack tran…
openalex
Jan Zacharias, Moritz von Zahn, Johannes Chen, Oliver Hinz
2022-12-01
置信度 0.72
Artifact (error)Transparency (behavior)Computer scienceFeature selectionSelection (genetic algorithm)
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The world is facing multiple healthcare challenges because of the emergence of the COVID-19 (coronavirus) pandemic. The pandemic has exposed the limitations of handling public healthcare emergencies using existing digital healthcare technologies. Thus, the COV…
openalex
Mohamed Yaseen Jabarulla, Heung-No Lee
2021-08-08
置信度 0.72
Health carePandemicWorkflowBlockchainData sharing
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The rise of sophisticated cyber threats has spurred advancements in Intrusion Detection Systems (IDS), which are crucial for identifying and mitigating security breaches in real-time. Traditional IDS often rely on complex machine learning algorithms that lack …
openalex
Vincent Zibi Mohale, Ibidun Christiana Obagbuwa
2025-01-28
置信度 0.72
InterpretabilityTransparency (behavior)Intrusion detection systemComputer scienceComputer security
-
openalex
Michael Mähler, Carolina Auza, Roger Albesa, Carlos Melus 等
2021-01-01
置信度 0.72
Food and drug administrationProcess (computing)SoftwareComputer scienceCover (algebra)
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Abstract The use of artificial intelligence (AI) applications is increasing in daily life. However, despite its remarkable capabilities, the widespread integration of this technology into all aspects of human life also carries the risk of causing unforeseen ps…
openalex
Serkan Cengiz, Adem Peker
2025-02-03
置信度 0.72
PsychologyMediationAnxietyGenerative grammarMechanism (biology)
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OBJECTIVES: The aim of this study was to evaluate the quality of reporting of randomised controlled trials (RCTs) of artificial intelligence (AI) in healthcare against Consolidated Standards of Reporting Trials-AI (CONSORT-AI) guidelines. DESIGN: Systematic re…
openalex
Rida Shahzad, Bushra Ayub, M. A. Rehman Siddiqui
2022-09-01
置信度 0.72
MedicineChecklistConsolidated Standards of Reporting TrialsData extractionSystematic review
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Abstract Without substantial automation, individuals cannot manage the complexity of operations and the scale of information to be utilized to secure cyberspace. Nonetheless, technology and software with traditional fixed implementations are difficult to build…
openalex
Rammanohar Das, Raghav Sandhane
2021-07-01
置信度 0.72
Computer securityComputer scienceCyberspaceImplementationSimplicity
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BACKGROUND: The use of artificial intelligence (AI)-based tools in the care of individual patients and patient populations is rapidly expanding. OBJECTIVE: The aim of this paper is to systematically identify research on provider competencies needed for the use…
openalex
Kim V. Garvey, Kelly Jean Thomas Craig, Regina G. Russell, Laurie L. Novak 等
2022-10-25
置信度 0.72
CINAHLMEDLINEHealth careCompetence (human resources)Medicine
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Artificial Intelligence (AI) has been making tremendous progress in transforming industries across different sectors globally, and healthcare is no exception. Increasing cost and patient outcomes are two recurring challenges faced by the healthcare industry. A…
openalex
Darpan Anand, Surender Singh, Saurabh Saurabh
2021-12-17
置信度 0.72
Health careField (mathematics)Computer scienceApplications of artificial intelligenceKnowledge management
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INTRODUCTION: Artificial intelligence (AI) is increasingly utilised in medical imaging systems and processes, and radiographers must embrace this advancement. This study aimed to investigate perceptions, knowledge, and expectations towards integrating AI into …
openalex
Sinead Coakley, Rena Young, Niamh Moore, Andrew England 等
2022-07-12
置信度 0.72
WorkforceApprehensionMedical educationPerceptionArtificial intelligence
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INTRODUCTION: The integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions' students in Jordan concerning AI, providing i…
openalex
Walid Al‐Qerem, Judith Eberhardt, Anan S. Jarab, Abdel Qader Al Bawab 等
2023-12-14
置信度 0.72
Health informaticsMedical educationKnowledge managementPsychologyData science
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With the recent integration of artificial intelligence (AI) in the educational field, understanding the variables that are related to teacher attitudes towards AI can be crucial for understanding their perspectives in the classroom. That is why the present stu…
openalex
Héctor Galindo‐Domínguez, Nahia Delgado, Lucía Campo, Daniel Losada Iglesias
2024-01-01
置信度 0.72
Competence (human resources)PsychologyMathematics educationPedagogySocial psychology
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INTRODUCTION: Generative artificial intelligence (AI) chatbots have recently been posited as potential sources of online medical information for patients making medical decisions. Existing online patient-oriented medical information has repeatedly been shown t…
openalex
Yazid K. Ghanem, Armaun D. Rouhi, Ammr Al-Houssan, Zena Saleh 等
2024-03-05
置信度 0.72
ReadabilityLikert scaleReading (process)Quality (philosophy)Scale (ratio)
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AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting, and countering cyber threats to keep up information confidentiality. The increasing awareness among folks, advancements in info technology, up-gradation of intelligence …
openalex
Feng Tao, Muhammad Shoaib Akhtar, Zhang Jiayuan
2021-07-07
置信度 0.72
ConfidentialityComputer securityWork (physics)Scheme (mathematics)Gradation
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BACKGROUND: We developed and validated an artificial intelligence (AI)-assisted prediction of preeclampsia applied to a nationwide health insurance dataset in Indonesia. METHODS: The BPJS Kesehatan dataset have been preprocessed using a nested case-control des…
openalex
Herdiantri Sufriyana, Yu‐Wei Wu, Emily Chia‐Yu Su
2020-04-01
置信度 0.72
PreeclampsiaComputer scienceHealth insuranceMedicineArtificial intelligence
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Abstract This study is the first to provide an integrated view on the body of knowledge of artificial intelligence (AI) published in the marketing, consumer research, and psychology literature. By leveraging a systematic literature review using a data‐driven a…
openalex
Marcello M. Mariani, Rodrigo Perez‐Vega, Jochen Wirtz
2021-12-09
置信度 0.72
Big dataConsumer behaviourSocial mediaPsychologyCognition
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With the increasing incidence and mortality of pulmonary tuberculosis, in addition to tough and controversial disease management, time-wasting and resource-limited conventional approaches to the diagnosis and differential diagnosis of tuberculosis are still aw…
openalex
Shufan Liang, Jiechao Ma, Gang Wang, Jun Shao 等
2022-07-28
置信度 0.72
TuberculosisMedicineArtificial intelligencePulmonary tuberculosisMachine learning
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In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI practices to the stru…
openalex
Michael Veale, Frederik Zuiderveen Borgesius
2021-07-06
置信度 0.72
EnforcementPolitical scienceLegislatureCommissionEuropean commission
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openalex
Shraddha Chakradhar
2017-11-01
置信度 0.72
Artificial intelligenceMedicineBiologyComputer science
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Artificial intelligence technologies are considered crucial in supporting a decentralized model of care in which therapeutic interventions are provided from a distance. In the last years, various approaches have been proposed to support remote monitoring and s…
openalex
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito
2023-01-01
置信度 0.72
Computer scienceArtificial intelligenceGeneralizability theoryMachine learningSystematic review
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With the rise of technology and the continued economic growth evident in modern society, acts of fraud have become much more prevalent in the financial industry, costing institutions and consumers hundreds of billions of dollars annually. Fraudsters are contin…
openalex
Waleed Hilal, S. Andrew Gadsden, John Yawney
2021-12-31
置信度 0.72
Credit card fraudAnomaly detectionExploitComputer scienceInsider
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Deep learning approaches to anomaly detection (AD) have recently improved the state of the art in detection performance on complex data sets, such as large collections of images or text. These results have sparked a renewed interest in the AD problem and led t…
openalex
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Gregoire Montavon 等
2021-02-05
置信度 0.72
Variety (cybernetics)Computer scienceDeep learningField (mathematics)Generative grammar
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The factors determining a drug's success are manifold, making de novo drug design an inherently multi-objective optimisation (MOO) problem. With the advent of machine learning and optimisation methods, the field of multi-objective compound design has seen a ra…
openalex
Sohvi Luukkonen, Helle W. van den Maagdenberg, Michael Emmerich, Gerard J. P. van Westen
2023-02-10
置信度 0.72
Artificial intelligenceMachine learningComputer scienceField (mathematics)Popularity
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Publicly accessible benchmarks that allow for assessing and comparing model performances are important drivers of progress in artificial intelligence (AI). While recent advances in AI capabilities hold the potential to transform medical practice by assisting a…
openalex
Kathrin Blagec, Jakob Kraiger, Wolfgang Frühwirt, Matthias Samwald
2022-12-17
置信度 0.72
Computer scienceBenchmark (surveying)WorkflowDocumentationData science
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Electrical impedance tomography (EIT) is a nondestructive imaging technique used to estimate the internal conductivity distribution of a conductive domain by taking potential measurements only at the domain boundaries. If a thin electrically conductive materia…
openalex
David Silvera‐Tawil, David Rye, Manuchehr Soleimani, Mari Velonaki
2014-12-02
置信度 0.72
Electrical impedance tomographyElectrical conductorRoboticsElectrical impedanceElectrical resistivity tomography
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Abstract The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with wearable and contactless sensors aimed at tackling real‐world problems warrants a pedagogical study to understand all the aspects of this research direction. Con…
openalex
Indrajeet Ghosh, Sreenivasan Ramasamy Ramamurthy, Avijoy Chakma, Nirmalya Roy
2023-03-21
置信度 0.72
Computer scienceData scienceArtificial intelligenceAnalyticsOpen research
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OBJECTIVES: Artificial Intelligence (AI) offers significant potential for improving healthcare. This paper discusses how an "open science" approach to AI tool development, data sharing, education, and research can support the clinical adoption of AI systems. M…
openalex
Chris Paton, Shinji Kobayashi
2019-04-25
置信度 0.72
Health careKnowledge managementComputer scienceOpenness to experienceData sharing
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(1) Background: AI-based solutions could become crucial for the prediction of pregnancy disorders and complications. This study investigated the evidence for applying artificial intelligence methods in obstetric pregnancy risk assessment and adverse pregnancy …
openalex
Stepan Feduniw, Dawid Golik, Anna Kajdy, Michał Pruc 等
2022-10-29
置信度 0.72
PregnancyMedicineMEDLINEGestational diabetesSystematic review
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BACKGROUND: When someone needs to know whether and when to seek medical attention, there are a range of options to consider. Each will have consequences for the individual (primarily considering trust, convenience, usefulness, and opportunity costs) and for th…
openalex
Stephen Miller, Stephen Gilbert, Vishaal Virani, Paul Wicks
2020-06-14
置信度 0.72
UsabilityComplaintPopulationMedicineHealth care
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Importance: Multimodal generative artificial intelligence (AI) methodologies have the potential to optimize emergency department care by producing draft radiology reports from input images. Objective: To evaluate the accuracy and quality of AI-generated chest …
openalex
Jonathan Huang, Luke A Neill, Matthew T. Wittbrodt, David Melnick 等
2023-10-05
置信度 0.72
TeleradiologyEmergency departmentMedicineChest radiographLikert scale
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Due to digitalization, small and medium-sized enterprises (SMEs) have significantly enhanced their efficiency and productivity in the past few years. The process to automate SME transaction execution is getting highly multifaceted as the number of stakeholders…
openalex
Abdullah Ayub Khan, Asif Ali Laghari, Peng Li, Mazhar Ali Dootio 等
2023-01-30
置信度 0.72
BlockchainComputer scienceSmall and medium-sized enterprisesInteroperabilityGeneral partnership
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Abstract There have been many applications and influences of Artificial intelligence (AI) in many sectors and its professionals, that of radiotherapy and the medical physicist is no different. AI and technological advances have necessitated changing roles of m…
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Emmanuel Fiagbedzi, Francis Hasford, Samuel Nii Adu Tagoe, Samuel Nii Tagoe
2023-10-19
置信度 0.72
Medical physicistPhysicistWork (physics)Radiation therapyMedical physics
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The use of artificial intelligence (AI) to generate automated early warnings in epidemic surveillance by harnessing vast open-source data with minimal human intervention has the potential to be both revolutionary and highly sustainable. AI can overcome the cha…
openalex
C. Raina MacIntyre, Xin Chen, Mohana Kunasekaran, Ashley Quigley 等
2023-03-01
置信度 0.72
Public health surveillancePublic healthWarning systemOpen dataMedicine
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INTRODUCTION: Whilst general artificial intelligence (AI) is yet to appear, today's narrow AI is already good enough to transform much of healthcare over the next two decades. OBJECTIVE: There is much discussion of the potential benefits of AI in healthcare an…
openalex
Enrico Coiera
2019-04-25
置信度 0.72
WorkflowTriageHealth careArtificial intelligenceProcess (computing)
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With the rapid development of artificial intelligence, the application of AI robots (Artificial Intelligence-based robots) for instruction has become an attractive research topic. Numerous studies have shown that AI robots may provide new opportunities for lea…
openalex
Shih‐Ting Chu, Gwo‐Jen Hwang, Yun‐Fang Tu
2022-01-01
置信度 0.72
RobotArtificial intelligenceCitationPerceptionComputer science
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The topic of this review is geometric registration in robotics. Registration algorithms associate sets of data into a common coordinate system. They have been used extensively in object reconstruction, inspection, medical application, and localization of mobil…
openalex
François Pomerleau, Francis Colas, Roland Siegwart
2015-05-27
置信度 0.72
RoboticsArtificial intelligenceComputer sciencePoint cloudFocus (optics)
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Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the elderly and pre-elderly population. This progressive neurological disorder is characterized by an array of symptoms including memory loss, cognitive decline, and various phys…
openalex
Zhaomin Yao, Hongyu Wang, W. C. Yan, Z Q Wang 等
2023-06-20
置信度 0.72
MedicineDiseaseOptimismMagnetic resonance imagingTransformative learning