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Surface-enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting and sensitive analytical technique, has exerted high applicational value in a broad range of fields including biomedicine, environmental protection, food safety among the others.…
openalex
Xinyuan Bi, Li Lin, Zhou Chen, Jian Ye
2023-10-27
置信度 0.72
Computer scienceNanotechnologyArtificial intelligencePipeline (software)Data science
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Robotic surgery, known for its minimally invasive techniques and computer-controlled robotic arms, has revolutionized modern medicine by providing improved dexterity, visualization, and tremor reduction compared to traditional methods. The integration of artif…
openalex
Muhammad Iftikhar, Muhammad Saqib, Muhammad Zareen, Hassan Mumtaz
2024-08-01
置信度 0.72
MedicineRobotic surgerySurgeryGeneral surgery
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Artificial intelligence (AI) tools, like OpenAI's Chat Generative Pre-trained Transformer (ChatGPT), hold considerable potential in healthcare, academia, and diverse industries. Evidence demonstrates its capability at a medical student level in standardized te…
openalex
Madhan Jeyaraman, Swaminathan Ramasubramanian, Sangeetha Balaji, Naveen Jeyaraman 等
2023-09-19
置信度 0.72
Transparency (behavior)Engineering ethicsAccountabilityApplications of artificial intelligenceSoftware deployment
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If increasing practitioners' diagnostic accuracy, medical artificial intelligence (AI) may lead to better treatment decisions at lower costs, while uncertainty remains around the resulting cost-effectiveness. In the present study, we assessed how enlarging the…
openalex
Falk Schwendicke, J. Cejudo Grano de Oro, A. Garcia Cantu, H. Meyer‐Lueckel 等
2022-08-22
置信度 0.72
EurosMedicineConvolutional neural networkArtificial neural networkData set
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openalex
2021-12-15
置信度 0.72
Health informaticsInformaticsComputer scienceArtificial intelligenceData science
-
The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health complications highlight the need to develop predictive models for early diagnosis and intervention. While many artificial intelligence (AI) models for T2DM risk prediction h…
openalex
Farida Mohsen, Hamada R. H. Al-Absi, Noha A. Yousri, Nady El Hajj 等
2023-10-25
置信度 0.72
InterpretabilityArtificial intelligenceMachine learningScopusSystematic review
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This analysis examines whether Ghana’s Public Health Act, 2012 (Act 851) imposes adequate legal responsibilities on healthcare facilities concerning personnel training on artificial intelligence (AI) systems and implementation of medical negligence reduction m…
openalex
George Mensah, Maad M. Mıjwıl, Mostafa Abotaleb, Guma Ali 等
2025-01-10
置信度 0.72
Health careTraining (meteorology)NursingBusinessMedicine
-
openalex
Bo Wang, Shuo Jin, Qingsen Yan, Haibo Xu 等
2020-11-10
置信度 0.72
Coronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer scienceMedical imaging
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Artificial intelligence (AI) is increasingly considered a source of competitive advantage in operations and supply chain management (OSCM). However, many organisations still struggle to adopt it successfully and empirical studies providing clear indications ar…
openalex
Violetta Giada Cannas, Maria Pia Ciano, Mattia Saltalamacchia, Raffaele Secchi
2023-07-12
置信度 0.72
Supply chain managementSupply chainOperations managementComputer scienceBusiness
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Clinical success of immunotherapy is driving the need for new prognostic and predictive assays to inform patient selection and stratification. This requirement can be met by a combination of computational pathology and artificial intelligence. Here, we critica…
openalex
Viktor H. Koelzer, Korsuk Sirinukunwattana, Jens Rittscher, Kirsten D. Mertz
2018-11-23
置信度 0.72
Precision medicineDigital pathologyArtificial intelligenceComputer scienceSurgical pathology
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Artificial intelligence (AI) applications are an integral and emerging component of digital agriculture. AI can help ensure sustainable production in agriculture by enhancing agricultural operations and decision-making. Recommendations about soil condition and…
openalex
Rozita Dara, Seyed Mehdi Hazrati Fard, Jasmin Kaur
2022-07-29
置信度 0.72
AgricultureSustainabilityTransparency (behavior)AccountabilityHarm
-
Introduction: Point-of-care ultrasound (POCUS) use is now universal among nonexperts. Artificial intelligence (AI) is currently employed by nonexperts in various imaging modalities to assist in diagnosis and decision making. Aim: To evaluate the diagnostic acc…
openalex
Ziv Dadon, Amir Orlev, Adi Butnaru, David Rosenmann 等
2023-11-29
置信度 0.72
Ejection fractionMedicineCardiac UltrasoundPoint of care ultrasoundCLIPS
-
openalex
William S. Monroe, Frank M. Skidmore, David Odaibo, Murat M. Tanik
2020-10-01
置信度 0.72
InterpretabilityComputer scienceArtificial intelligenceMachine learningSoftware portability
-
An avalanche of medical data is starting to be build up. With the digitalisation of medicine and novel approaches such as the omics technologies, we are conquering ever bigger data spaces to be used to describe pathophysiology of diseases, define biomarkers fo…
openalex
Joachim L. Schultze
2023-01-10
置信度 0.72
Privilege (computing)Data sharingData scienceComputer scienceArtificial intelligence
-
INTRODUCTION: Artificial Intelligence (AI) has made a profound impact on the medical sector, particularly in radiology. The integration of AI knowledge into medical education is essential to equip future healthcare professionals with the skills needed to effec…
openalex
Salita Angkurawaranon, Nakarin Inmutto, Kittipitch Bannangkoon, Surapat Wonghan 等
2024-10-22
置信度 0.72
Inclusion (mineral)CurriculumMedical educationLikert scaleMedicine
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Artificial intelligence (AI) can transform health care by delivering medical services to underserved areas, while also filling gaps in health care provider availability. However, AI may also lead to patient harm due to fatal glitches in robotic surgery, bias i…
openalex
Cristina Richie
2022-03-15
置信度 0.72
Health careSustainabilityHarmBioethicsBusiness
-
Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical imaging and e…
openalex
Danai Khemasuwan, Jeffrey Sorensen, Henri G. Colt
2020-09-30
置信度 0.72
Artificial intelligenceMedicineCoronavirus disease 2019 (COVID-19)Deep learningApplications of artificial intelligence
-
Artificial intelligence (AI) is gaining extensive attention for its excellent performance in image-recognition tasks and increasingly applied in breast ultrasound. AI can conduct a quantitative assessment by recognizing imaging information automatically and ma…
openalex
Ge-Ge Wu, Liqiang Zhou, Jianwei Xu, Jia‐Yu Wang 等
2019-02-27
置信度 0.72
MedicineBreast ultrasoundBreast cancerArtificial intelligenceUltrasound
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This study investigates the application of the Artificial Intelligence of Things (AIoTs) integrated with Autonomous Mobile Robots within medical supply chains, specifically targeting the optimization of Vaccine Transport Box sorting. We introduced two novel qu…
openalex
Saâdia Chabel, El Miloud Ar-Reyouchi
2024-07-30
置信度 0.72
sortSupply chainComputer scienceSupply chain managementArtificial intelligence
-
In recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively used in medical practice and may …
openalex
Michael A. Riegler, Mette H. Stensen, Oliwia Witczak, Jorunn M. Andersen 等
2021-06-23
置信度 0.72
Strengths and weaknessesObjectivity (philosophy)FertilityData scienceContext (archaeology)
-
openalex
Sagar Kulkarni, Saurabh Kumar Jha
2019-11-20
置信度 0.72
TuberculosisInfectious disease (medical specialty)DiseaseArtificial intelligenceMedicine
-
Global teacher shortage is a serious concern with grave implications for the future of education. This calls for novel ways of addressing teacher roles. The economic benefits of tireless labor inspires the need for teachers who are unlimited by natural human d…
openalex
Bosede Iyiade Edwards, Adrian David Cheok
2018-04-21
置信度 0.72
AffordancePersonality psychologyComputer scienceEconomic shortageRobot
-
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essential in the developme…
openalex
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez 等
2022-10-26
置信度 0.72
Computer scienceComputer securityMalwareArtificial intelligenceData science
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What stories are told in national artificial intelligence (AI) policies? Combining the novel technique of structural topic modeling (STM) and qualitative narrative analysis, this paper examines the policy narratives in 33 countries’ AI policies. We uncover six…
openalex
Ali A. Guenduez, Tobias Mettler
2022-06-22
置信度 0.72
NarrativePremiseEnablingSensemakingRhetoric
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Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can effectively respond to sophisticated a…
openalex
Isaac Wiafe, Felix Nti Koranteng, Emmanuel Nyarko Obeng, Nana Assyne 等
2020-01-01
置信度 0.72
Computer scienceIntrusion detection systemComputer securityPublicationDomain (mathematical analysis)
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Machine learning (ML) has emerged as a critical enabling tool in the sciences and industry in recent years. Today’s machine learning algorithms can achieve outstanding performance on an expanding variety of complex tasks–thanks to advancements in technique, th…
openalex
Nilkanth Mukund Deshpande, Shilpa Gite, Biswajeet Pradhan, Mazen E. Assiri
2022-01-01
置信度 0.72
Computer scienceArtificial intelligenceData science
-
Artificial intelligence (AI) technologies have significantly advanced the field of medical imaging, revolutionizing diagnostic and therapeutic processes [...]
openalex
László Szilágyi, Levente Kovács
2024-03-05
置信度 0.72
Computer scienceArtificial intelligence
-
Artificial Intelligence (AI) is influencing all aspects of human and business activities nowadays. Although potential benefits emerged from AI technologies have been widely discussed in many current literature, there is an urgently need to understand how AI ca…
openalex
Yichuan Wang, Mengran Xiong, Hossein Olya
2020-01-01
置信度 0.72
Corporate governanceApplications of artificial intelligenceKnowledge managementBest practiceControl (management)
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This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, e…
openalex
Mohammad Amini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves 等
2023-08-07
置信度 0.72
MandateEngineering ethicsHealth careGeneral Data Protection RegulationContext (archaeology)
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Brain tumor cases increased significantly globally between 2004 and 2020 from nearly 10% to 15% [1]. The early detection and diagnosis of brain tumors are crucial for taking appropriate preventive measures, as is the case with most cancers [2].
openalex
Marcos A M Almeida
2023-11-14
置信度 0.72
Artificial intelligenceMedicineNeurosciencePsychologyMedical physics
-
openalex
Michael D. Abràmoff, Brad Cunningham, Bakul Patel, Malvina Eydelman 等
2021-08-31
置信度 0.72
MedicineAutonomyWarrantHealth careGlobe
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BACKGROUND: Artificial intelligence (AI) systems can potentially aid the diagnostic pathway of prostate cancer by alleviating the increasing workload, preventing overdiagnosis, and reducing the dependence on experienced radiologists. We aimed to investigate th…
openalex
Anindo Saha, Anindo Saha, Joeran Sander Bosma, Jasper J. Twilt 等
2024-06-12
置信度 0.72
Prostate cancerMedicineMedical physicsCancer detectionProstate
-
openalex
Valentina V. Zharkova, Lakhmi C. Jain
2007-01-01
置信度 0.72
RangingMedical imagingPharmacyArtificial intelligenceComputer science
-
Abstract Background Artificial intelligence (AI) is anticipated to fundamentally change the educational and professional landscape for the next generation of physicians, but its successful integration depends on the global perspectives of all stakeholders. Pre…
openalex
Felix Busch, Lena Hoffmann, Daniel Truhn, Esteban Ortiz‐Prado 等
2023-12-10
置信度 0.72
CurriculumMultinational corporationCross-sectional studyMedical educationPerception
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Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and has been applied to various fields of medicine. Advances in computer science, medical informatics, robotics, and the need for personalized medicine have facilitated t…
openalex
Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero, Rupin Shah 等
2023-06-18
置信度 0.72
Reproductive medicineArtificial intelligenceRoboticsPrecision medicineApplications of artificial intelligence
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Abstract Despite substantial gains facilitated by Artificial Intelligence (AI) in recent years, it has to be applied very cautiously in sensitive domains like medicine due to the lack of explainability of many methods in this field. We aim to provide a system …
openalex
Fabian Berns, Niclas Heilig, Florian Stumpe, Jan Kirchhoff
2023-05-29
置信度 0.72
Computer scienceField (mathematics)Applications of artificial intelligenceArtificial intelligenceData science
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The artificial intelligence (AI) revolution has arrived for the health care sector and is finally penetrating the far-reaching but perpetually underfinanced primary care platform. While AI has the potential to facilitate the achievement of the Quintuple Aim (b…
openalex
Winston Liaw, Jacqueline K. Kueper, Steven Lin, Andrew Bazemore 等
2022-11-01
置信度 0.72
MedicineHarmSoftware deploymentWorkforceHealth care
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Background. The implementation of medical digital technologies can provide better accessibility and flexibility of healthcare for the public. It encompasses the availability of open information on the health, treatment, complications, and recent progress on bi…
openalex
Maksut Senbekov, Timur Saliev, Zhanar Bukeyeva, Aigul Almabayeva 等
2020-12-03
置信度 0.72
TelemedicineDigital healthHealth careFlexibility (engineering)Computer science
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Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational resources, and technological innovations. In medicine, the sensitivity of the data…
openalex
Ahmad Chaddad, Qizong Lu, Jiali Li, Yousef Katib 等
2023-03-28
置信度 0.72
Computer scienceDomain (mathematical analysis)Artificial intelligenceMathematicsMathematical analysis
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Importance: Expert-level artificial intelligence (AI) algorithms for prostate biopsy grading have recently been developed. However, the potential impact of integrating such algorithms into pathologist workflows remains largely unexplored. Objective: To evaluat…
openalex
David F. Steiner, Kunal Nagpal, Rory Sayres, Davis Foote 等
2020-11-12
置信度 0.72
Grading (engineering)MedicineProstateBiopsyProstate biopsy
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Artificial intelligence (AI) pertains to the ability of computers or computer-controlled machines to perform activities that demand the cognitive function and performance level of the human brain. The use of AI in medicine and health care is growing rapidly, s…
openalex
Abdullah Shuaib, Husain Arian, Ali Shuaib
2020-10-01
置信度 0.72
PaceHealth careMedicinePersonalizationArtificial intelligence
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Automatic segmentation of retinal images is an important task in computer-assisted medical image analysis for the diagnosis of diseases such as hypertension, diabetic and hypertensive retinopathy, and arteriosclerosis. Among the diseases, diabetic retinopathy,…
openalex
Muhammad Arsalan, Muhammad Owais, Tahir Mahmood, Se Woon Cho 等
2019-09-11
置信度 0.72
SegmentationArtificial intelligenceMedicineDiabetic retinopathyHypertensive retinopathy
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Interview with Adam Rodman on the potential effects of generative artificial intelligence on medical education and clinical practice. (09:51)Download Artificial intelligence could have broad implications for medical education. Educators could lead the way when…
openalex
Avraham Z. Cooper, Adam Rodman
2023-07-29
置信度 0.72
Generative grammarMedical educationClinical PracticeDownloadMedical practice
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Importance: The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform. Objective: To understand clinician experience befor…
openalex
Cheryl D. Stults, Sien Deng, Meghan C. Martinez, Joseph Wilcox 等
2025-05-02
置信度 0.72
DocumentationElectronic health recordSpecialtyMedicineLogistic regression
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Echocardiography is an integral part of the diagnosis and management of cardiovascular disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in medicine to improve consistency and reduce interobserver variability. AI can…
openalex
Timothy Barry, Juan Farina, Chieh‐Ju Chao, Chadi Ayoub 等
2023-02-20
置信度 0.72
Artificial intelligenceMagnetic resonance imagingComputer scienceMachine learningApplications of artificial intelligence
-
openalex
Juliette Raffort, Cédric Adam, Marion Carrier, Fabien Lareyre
2019-12-16
置信度 0.72
LimelightMedicineFace (sociological concept)Clinical PracticeMedical practice
-
openalex
B.L. Sharma, Lokesh Sharma, Chhagan Lal, Satyabrata Roy
2023-09-25
置信度 0.72
Computer scienceArtificial intelligenceIntrusion detection systemDeep learningMachine learning
-
openalex
Alexandra T. Greenhill, Bethany R. Edmunds
2019-10-12
置信度 0.72
Set (abstract data type)Artificial intelligenceComputer scienceHealth careOrder (exchange)
-
Accurate reading and comprehension of medical prescriptions are crucial for healthcare providers to ensure appropriate treatment for the patients. However, with the growing volume of prescriptions and increasingly complex medication regimens, errors can occur,…
openalex
Mayur Agrawal, Vishwajeet Mishra, Hanesh Sunil Jogani, Prerna Kashyap 等
2023-06-01
置信度 0.72
Medical prescriptionHealth careIdentification (biology)Computer scienceField (mathematics)
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BACKGROUND: There has been an increasing trend toward pulmonary segmentectomies to treat early-stage lung cancer, small intrapulmonary metastases, and localized benign pathology. A complete preoperative understanding of pulmonary anatomy is essential for accur…
openalex
Amir H. Sadeghi, Alexander P.W.M. Maat, Yannick J.H.J. Taverne, Robin Cornelissen 等
2021-03-18
置信度 0.72
MedicineSurgical planningVirtual realityCardiothoracic surgeryRadiology
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Artificial intelligence and other forms of information technology are only just beginning to change the practice of medicine. The pace of change is expected to accelerate as tools improve and as demands for analyzing a rapidly growing body of knowledge and arr…
openalex
S. Claiborne Johnston
2018-02-14
置信度 0.72
PaceEmpathyCreativityCurriculumHumanism
-
As artificial intelligence (AI) rapidly approaches human-level performance in medical imaging, it is crucial that it does not exacerbate or propagate healthcare disparities. Previous research established AI's capacity to infer demographic data from chest X-ray…
openalex
Yuzhe Yang, Haoran Zhang, Judy Wawira Gichoya, Dina Katabi 等
2024-06-28
置信度 0.72
GeneralizationComputer scienceMedical imagingTest (biology)Artificial intelligence
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Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous successful stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which has been happening around the globe. This …
openalex
Thanh Thi Nguyen
2020-08-01
置信度 0.72
BattlePandemicCoronavirus disease 2019 (COVID-19)GlobeData science
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Abstract The paper presents a comprehensive overview of the use of artificial intelligence (AI) systems in drug design. Neural networks, which are one of the systems employed in AI, are used to identify chemical structures that can have medical relevance. Succ…
openalex
Maciej Staszak, Katarzyna Staszak, Karolina Wieszczycka, Anna Bajek 等
2021-08-06
置信度 0.72
Artificial intelligenceComputer scienceArtificial neural networkRelevance (law)Cheminformatics
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Artificial intelligence is upending many of our assumptions about the ability of computers to detect and diagnose diseases on medical images. Deep learning, a recent innovation in artificial intelligence, has shown the ability to interpret medical images with …
openalex
Joseph E. Burns, Jianhua Yao, Ronald M. Summers
2019-08-09
置信度 0.72
Medical imagingGovernment (linguistics)Artificial intelligenceDeep learningComputer science
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Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and relapsing conditions that pose a growing burden on healthcare systems worldwide. Because of their complex and partly unknown etiology and pathogenesis, the management o…
openalex
Leonardo Da Rio, Marco Spadaccini, Tommaso Lorenzo Parigi, Roberto Gabbiadini 等
2023-01-12
置信度 0.72
Ulcerative colitisInflammatory bowel diseaseMedicineDiseaseCrohn's disease
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openalex
Falk Schwendicke, Akhilanand Chaurasia, Thomas Wiegand, Sergio Uribe 等
2022-11-21
置信度 0.72
CurriculumGeneralizability theoryMedical educationComputer scienceHealth care
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As the field of artificial intelligence and machine learning (AI/ML) for drug discovery is rapidly advancing, we address the question "What is the impact of recent AI/ML trends in the area of Clinical Pharmacology?" We address difficulties and AI/ML developmen…
openalex
Alex Zhavoronkov, Quentin Vanhaelen, Tudor I. Oprea
2020-01-20
置信度 0.72
Context (archaeology)Drug discoveryClinical pharmacologyIdentification (biology)Clinical trial
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There is a growing consensus among computer science faculty that it is quite difficult to teach the introductory course on Artificial Intelligence well [4, 6]. In part this is because AI lacks a unified methodology, overlaps with many other disciplines, and in…
openalex
Deepak Kumar, Lisa Meeden
1998-03-01
置信度 0.72
RobotComputer scienceArtificial intelligenceSyllabusRobotics
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With the recent development in technologies and integration of millions of internet of things devices, a lot of data is being generated every day (known as Big Data). This is required to improve the growth of several organizations or in applications like e-hea…
openalex
Amit Kumar Tyagi, Poonam Chahal
2019-11-07
置信度 0.72
Artificial intelligenceBig dataComputer scienceMachine learningRobotics
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This study aimed to compare the knowledge and interpretation ability of ChatGPT, a language model of artificial general intelligence, with those of medical students in Korea by administering a parasitology examination to both ChatGPT and medical students. The …
openalex
Sun Huh
2023-01-11
置信度 0.72
Final examinationInterpretation (philosophy)Medical educationPsychologyMathematics education
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Abstract The article explores the impact of the ongoing progress and adaptation of artificial intelligence on the practice of the corporate governance. It applies three lenses to artificial governance—the business, technology and society lenses—to assess the d…
openalex
Michael Hilb
2020-07-21
置信度 0.72
Corporate governanceArtificial intelligenceAdaptation (eye)Project governanceBusiness
-
openalex
Bernhard Föllmer, Michelle C. Williams, Damini Dey, Armin Arbab‐Zadeh 等
2023-07-18
置信度 0.72
Coronary arteriesIntravascular ultrasoundMedicineCoronary artery diseaseCoronary atherosclerosis
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Humanity stands at a pivotal moment of technological revolution, with artificial intelligence (AI) reshaping fields traditionally reliant on human cognitive abilities. This transition, driven by advancements in artificial neural networks, has transformed data …
openalex
Rafał Obuchowicz, Julia Lasek, Marek Wodziński, Adam Piórkowski 等
2025-01-24
置信度 0.72
Artificial intelligenceComputer scienceMedical imagingMachine learningConvolutional neural network
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This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Ima…
openalex
J. Raymond Geis, Adrian P. Brady, Carol C. Wu, Jack Spencer 等
2019-09-30
置信度 0.72
MedicineTransparency (behavior)Interventional radiologyDignityAccountability
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The development of modern medicine has made ever-increasing demands for the automation and intelligence of medical equipments. After briefly introducing to the basic concept of Artificial Intelligence, this paper mainly described the medical applications and t…
openalex
Ning Yang
2009-01-01
置信度 0.72
Artificial intelligenceAutomationArtificial neural networkComputer scienceExpert system
-
openalex
Vivek Yedavalli, Elizabeth Tong, Dann Martin, Kristen W. Yeom 等
2020-09-21
置信度 0.72
WorkflowArtificial intelligenceContext (archaeology)MedicineMachine learning
-
Generative Artificial Intelligence (GenAI) has emerged as a promising technology that can create original content, such as text, images, and sound. The use of GenAI in educational settings is becoming increasingly popular and offers a range of opportunities an…
openalex
Marc Alier, Francisco José García‐Peñalvo, Jorge D. Camba
2024-03-01
置信度 0.72
Computer scienceGenerative grammarArtificial intelligenceData science
-
openalex
Dhruv Mehta
2023-07-17
置信度 0.72
TortHealth careLiabilitySet (abstract data type)Function (biology)
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Homology modeling is a method for building protein 3D structures using protein primary sequence and utilizing prior knowledge gained from structural similarities with other proteins. The homology modeling process is done in sequential steps where sequence/stru…
openalex
Tareq Hameduh, Yazan Haddad, Vojtěch Adam, Zbyněk Heger
2020-01-01
置信度 0.72
CASPHomology modelingComputer scienceCodebaseProtein structure prediction
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Artificial intelligence (AI) has the potential to improve diagnostic accuracy. Yet people are often reluctant to trust automated systems, and some patient populations may be particularly distrusting. We sought to determine how diverse patient populations feel …
openalex
Christopher T. Robertson, Andrew Keane Woods, Kelly Bergstrand, Jess Findley 等
2023-05-19
置信度 0.72
Artificial intelligencePsychologyComputer science
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OBJECTIVES: Artificial intelligence (AI) represents an exciting and evolving technology that is increasingly being utilized across pain medicine. Large language models (LLMs) are one type of AI that has become particularly popular. Currently, there is a paucit…
openalex
Michael Glicksman, Sheri Wang, Samir Yellapragada, Christopher L. Robinson 等
2024-11-26
置信度 0.72
MedicinePersonalized medicinePopularityAlternative medicineMedical education
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The lifestyle of modern society has changed significantly with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent years. Artificial intelligence is a multidimensional technology with various comp…
openalex
Lokman Balyen, Tünde Pető
2019-01-01
置信度 0.72
GlaucomaArtificial intelligenceDiabetic retinopathyMedicineFundus photography
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Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in diagnosis, stratification, and management. AI algorithms can help clinicians in the following areas: (1) interpretation and detection of arrhythmias, ST-segment changes…
openalex
Manuel Martínez‐Sellés, Manuel Marina‐Breysse
2023-04-17
置信度 0.72
ElectrocardiographyHeart rate variabilityMyocardial infarctionMedicineArtificial intelligence
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The induction of Artificial Intelligence (AI) concept with the application of smart intelligent devices and adoption of high-speed data transmission networking techniques in healthcare unit, set a benchmark in the ideology of healthcare to a new level. Develop…
openalex
Bhagyashree Mohanta, Priti Das, Srikanta Patnaik
2019-05-01
置信度 0.72
Computer scienceHealth careBig dataWearable computerMachine to machine
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Previous article Next article Adaptation in Natural and Artificial Systems (John H. Holland)Jeffrey R. SampsonJeffrey R. Sampsonhttps://doi.org/10.1137/1018105PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout"Adaptation i…
openalex
Jeffrey R. Sampson
1976-07-01
置信度 0.72
Adaptation (eye)Natural (archaeology)Computer scienceArtificial intelligencePsychology
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Background and aims Artificial intelligence (AI) has expanded applications in both medicine and biomedical sciences, focusing on medical diagnosis, risk prediction of disease onset, support of therapeutic techniques, and other subjects. In parallel, several ap…
openalex
Paraskevi Detopoulou, Gavriela Voulgaridou, Panagiotis Moschos, Despoina Levidi 等
2023-07-17
置信度 0.72
Engineering ethicsEthical issuesPsychologyEngineering
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Rice being one of the most widely produced and consumed cereal crops in the world, is also the one of the main sustenance in our country because of its economical and nutritious nature. Rice, starting from farm to our table, goes through some manufacturing ste…
openalex
İlkay Çınar, Murat Köklü
2019-09-30
置信度 0.72
Computer scienceArtificial intelligence
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Abstract The sports domain presents a number of significant computational challenges for artificial intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that have been applied to the challenges within team sports thus far. We f…
openalex
Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn
2019-01-01
置信度 0.72
Strengths and weaknessesComputer scienceDomain (mathematical analysis)Artificial intelligenceOrder (exchange)
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The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these two artificial entities do not exist, the algorithms of AI have been able to address many real issues, from pe…
openalex
Richard E. Neapolitan
2012-08-25
置信度 0.72
Computer scienceArtificial intelligence
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The integration of artificial intelligence (AI) techniques into clinical settings presents critical challenges due to the opacity of machine learning models, often referred to as "black boxes": this study explores the application of explainability techniques, …
openalex
F. Falvo, Mario Cannataro
2024-12-03
置信度 0.72
Computer scienceArtificial intelligenceMachine learning
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openalex
Iván Palomares, Eugenio Martínez‐Cámara, Rosana Montes, Pablo García-Moral 等
2021-06-11
置信度 0.72
SWOT analysisBlueprintProsperitySustainable developmentComputer science
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Introduction: Benefits from mental health early interventions may not be sustained over time, and longer-term intervention programs may be required to maintain early clinical gains. However, due to the high intensity of face-to-face early intervention treatmen…
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Simon D’Alfonso, Olga Santesteban‐Echarri, Simon Rice, Greg Wadley 等
2017-06-01
置信度 0.72
Psychological interventionMental healthPsychologyIntervention (counseling)Social media
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openalex
Elena Alessandri, Alessandro Gasparetto, Rafael Valencia Garcı́a, Rodrigo Martínez‐Béjar
2005-01-01
置信度 0.72
RoboticsArtificial intelligencePlannerTask (project management)Robot
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In the wake of COVID-19 disease, caused by the SARS-CoV-2 virus, we designed and developed a predictive model based on Artificial Intelligence (AI) and Machine Learning algorithms to determine the health risk and predict the mortality risk of patients with COV…
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Mohammad Pourhomayoun, Mahdi Shakibi
2021-01-18
置信度 0.72
Confusion matrixOvercrowdingDecision treeMachine learningArtificial intelligence
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Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze 等
2021-05-28
置信度 0.72
Artificial intelligenceComputer scienceNoveltyPixelBlack box
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As one of the most popular approaches in artificial intelligence, deep learning (DL) has attracted a lot of attention in the medical physics field over the past few years. The goals of this topical review article are twofold. First, we will provide an overview…
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Chenyang Shen, Dan Nguyen, Zhiguo Zhou, Steve Jiang 等
2020-01-23
置信度 0.72
Field (mathematics)Computer scienceDeep learningData scienceArtificial intelligence
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William T. Tran, Katarzyna J. Jerzak, Fang-I Lu, Jonathan Klein 等
2019-08-22
置信度 0.72
RadiomicsBreast cancerMedical physicsCancerMedicine
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Purpose: To establish reporting adherence to the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) in diagnostic accuracy AI studies with the highest Altmetric Attention Scores (AAS), and to compare completeness of reporting between peer-reviewe…
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Umaseh Sivanesan, Kay Wu, Matthew D. F. McInnes, Kiret Dhindsa 等
2022-10-27
置信度 0.72
ChecklistMedicinePreprintCoronavirus disease 2019 (COVID-19)MEDLINE
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Reza Yousefi Nooraie, Patrick G. Lyons, Ana A. Baumann, Babak Saboury
2021-09-15
置信度 0.72
Equity (law)MedicineHealth careIntervention (counseling)Implementation research
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Artificial intelligence (AI) has revolutionized many fields, and its potential in healthcare has been increasingly recognized. Based on diverse data sources such as imaging, laboratory tests, medical records, and electrophysiological data, diagnostic AI has wi…
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Chuheng Chang, Wen Shi, Youyang Wang, Zhan Zhang 等
2024-03-07
置信度 0.72
Computer scienceData scienceField (mathematics)Artificial intelligenceBig data
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The aim of this study is to demonstrate the effect of particle size on semiconductor properties; artificial intelligence is being used for the research methods. As a result, we picked cadmium sulfide (CdS), which is a unique semiconductor material that is empl…
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Walid Theib Mohammad, Sherin Hassan Mabrouk, Rania Mohammed Abd Elgawad Mostafa, Mohammad Bani Younis 等
2022-02-11
置信度 0.72
Cadmium sulfideMaterials scienceTransmittanceSemiconductorSpectroscopy
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Artificial Intelligence in Medical Imaging - 1
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C.S. Sureka
2021-08-26
置信度 0.72
Computer scienceArtificial intelligence
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BACKGROUND/AIM: This study aimed to use artificial intelligence (AI) to predict the pathological diagnosis of ovarian tumors using patient information and data from preoperative examinations. PATIENTS AND METHODS: A total of 202 patients with ovarian tumors we…
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Munetoshi Akazawa, Kazunori Hashimoto
2020-07-29
置信度 0.72
Random forestLogistic regressionOvarian cancerNaive Bayes classifierSupport vector machine
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Significant advances in artificial intelligence (AI) have been made possible by the growth of digital data and computer power. As an outcome, medical judgement for diagnostics, treatments, and prognostic is improved through the application of categorization & …
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Aman Mittal
2023-05-12
置信度 0.72
Computer scienceJudgementCategorizationData scienceClinical decision support system
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Abstract Artificial intelligence (AI) and algorithmic systems have been criticized for perpetuating bias, unjust discrimination, and contributing to inequality. Artificial intelligence researchers have remained largely oblivious to existing scholarship on soci…
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Mike Zajko
2022-02-02
置信度 0.72
ScholarshipSociologyAgency (philosophy)InequalitySocial inequality
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openalex
2022-01-01
置信度 0.72
Artificial intelligenceComputer sciencePsychologyCognitive science
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openalex
Abbas Sharifi, Mohsen Ahmadi, Ali Ala
2021-07-16
置信度 0.72
ProsperityPandemicRenewable energyCoronavirus disease 2019 (COVID-19)Business
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Clinical applications of Artificial Intelligence (AI) for mental health care have experienced a meteoric rise in the past few years. AI-enabled chatbot software and applications have been administering significant medical treatments that were previously only a…
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Батырхан Омаров, Sergazi Narynov, Zhandos Zhumanov
2022-12-29
置信度 0.72
ChatbotMental healthHealth careRealmPsychology
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Artificial Intelligence is a disruptive technology developed during the 20th century, which has undergone an accelerated evolution, underpinning solutions to complex problems in the business world. Neural Networks, Machine Learning, or Deep Learning are concep…
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José Luis Ruiz–Real, Juan Uribe-Toril, José Antonio Torres, Jaime de Pablo Valenciano
2020-10-29
置信度 0.72
UnderpinningMarketing and artificial intelligenceWeb intelligenceBusiness intelligenceArtificial intelligence