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• AI for radiographic COVID-19 detection selects shortcuts over signal
  Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that accurately detect COVID-19 in chest radiographs. However, the robustness of these systems remains unclear. Using state-of-the-art techniques in explainable AI, we …
  openalex Alex J. DeGrave, Joseph D. Janizek, Su‐In Lee 2021-05-31 置信度 0.72 Coronavirus disease 2019 (COVID-19)Artificial intelligenceComputer scienceSoftware deploymentMachine learning
• Artificial Intelligence in Lung Cancer Screening: The Future Is Now
  Lung cancer has one of the worst morbidity and fatality rates of any malignant tumour. Most lung cancers are discovered in the middle and late stages of the disease, when treatment choices are limited, and patients' survival rate is low. The aim of lung cancer…
  openalex Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, Vittoria Chiarpenello 等 2023-08-30 置信度 0.72 Lung cancer screeningContext (archaeology)MedicineLung cancerWorkflow
• Integration of Artificial Intelligence Into Sociotechnical Work Systems—Effects of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: Protocol for a Systematic Literature Review
  BACKGROUND: When introducing artificial intelligence (AI) into clinical care, one of the main objectives is to improve workflow efficiency because AI-based solutions are expected to take over or support routine tasks. OBJECTIVE: This study sought to synthesize…
  openalex Katharina Wenderott, Nikoloz Gambashidze, Matthias Weigl 2022-10-20 置信度 0.72 WorkflowPsycINFOComputer scienceApplications of artificial intelligenceSystematic review
• Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review
  BACKGROUND: The applications of artificial intelligence (AI) processes have grown significantly in all medical disciplines during the last decades. Two main types of AI have been applied in medicine: symbolic AI (eg, knowledge base and ontologies) and nonsymbo…
  openalex Ferdinand Dhombres, Jules Bonnard, Kévin Bailly, P Maurice 等 2022-03-15 置信度 0.72 Obstetrics and gynaecologyObstetricsMedicineMedical educationGynecology
• The socio-organizational age of artificial intelligence in medicine
  openalex Mario Stefanelli 2001-08-01 置信度 0.72 WorkflowHealth careGuidelineKnowledge managementEvidence-based medicine
• Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics
  This manuscript serves as an introduction to a comprehensive 7-part review article series on artificial intelligence (AI) and machine learning (ML) and their current and future influence within pathology and medicine. This introductory review provides a compre…
  openalex Hooman H. Rashidi, Joshua Pantanowitz, Matthew G Hanna, Ahmad P. Tafti 等 2025-01-04 置信度 0.72 Generative grammarArtificial intelligencePathologyComputer scienceMedicine
• Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
  The integration of artificial intelligence (AI) into point-of-care (POC) biosensing has the potential to revolutionize diagnostic methodologies by offering rapid, accurate, and accessible health assessment directly at the patient level. This review paper explo…
  openalex Connor D. Flynn, Dingran Chang 2024-05-25 置信度 0.72 Computer scienceBiosensorField (mathematics)Health careTransformative learning
• Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare
  openalex Yi Xie, Lin Lu, Fei Gao, Shuangjiang He 等 2021-12-01 置信度 0.72 BlockchainWearable computerHealth careWearable technologyComputer science
• Artificial intelligence-based automated laparoscopic cholecystectomy surgical phase recognition and analysis
  openalex Ke Cheng, Jiaying You, Shangdi Wu, Zixin Chen 等 2021-07-06 置信度 0.72 CholecystectomyMedicineArtificial intelligenceDeep learningLaparoscopic cholecystectomy
• Creativity and artificial intelligence: A multilevel perspective
  Artificial intelligence is likely to revolutionize multiple aspects of organizational creativity. Through a multilevel theoretical lens, the present paper reviews the extant body of knowledge on creativity at individual, team and organizational levels, and dra…
  openalex Luca Grilli, Mattia Pedota 2024-01-09 置信度 0.72 CreativityExtant taxonPsychologyPerspective (graphical)Knowledge management
• A new method in automatic generation of medical protocols using artificial intelligence tools and a data manager
  Medical protocols and guidelines are means through which the health care quality is improved. Implementing them with the help of computers, their acceptance and the applicability have increased over time. A new method for implementing medical protocols and gui…
  openalex V. Gomoi, Vasile Stoicu-Tivadar 2010-05-01 置信度 0.72 StandardizationComputer scienceProtocol (science)Adaptation (eye)Generator (circuit theory)
• Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence
  The Internet of Things (IoT) is a well-known technology that has a significant impact on many areas, including connections, work, healthcare, and the economy. IoT has the potential to improve life in a variety of contexts, from smart cities to classrooms, by a…
  openalex Tehseen Mazhar, Dhani Bux Talpur, Tamara Al Shloul, Yazeed Yasin Ghadi 等 2023-04-19 置信度 0.72 Variety (cybernetics)Computer scienceInternet of ThingsComputer securityArtificial intelligence
• Applications of artificial intelligence in obstetrics
  Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well as in patient monitoring. In obstetrics, artificial…
  openalex Ho Yeon Kim, Geum Joon Cho, Han Sung Kwon 2022-06-20 置信度 0.72 MedicineUltrasonographyCardiotocographyMagnetic resonance imagingMedical physics
• Operationalising ethics in artificial intelligence for healthcare: a framework for AI developers
  Abstract Artificial intelligence (AI) offers much promise for improving healthcare. However, it runs the looming risk of causing individual and societal harms; for instance, exacerbating inequalities amongst minority groups, or enabling compromises in the conf…
  openalex Pravik Solanki, John Grundy, Waqar Hussain 2022-07-19 置信度 0.72 Health careConfidentialityEngineering ethicsKnowledge managementComputer science
• Machine learning and artificial intelligence in the service of medicine: Necessity or potentiality?
  openalex Tamim Alsuliman, Dania Humaidan, Layth Sliman 2020-02-03 置信度 0.72 Artificial intelligenceInterpretation (philosophy)Health careField (mathematics)Service (business)
• Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal
  Background and purpose - Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have become common research fields in orthopedics and medicine in general. Engineers perform much of the work. While they gear the results towards healthcare p…
  openalex Jakub Olczak, John Pavlopoulos, Jasper Prijs, Frank F. A. IJpma 等 2021-05-14 置信度 0.72 Artificial intelligenceChecklistHealth careContext (archaeology)Medicine
• Artificial Intelligence in Diabetic Eye Disease Screening
  Systematic or national screening programs for diabetic retinopathy (DR) and diabetic macular edema (DME), using digital fundus photography and optical coherence tomography (OCT), are currently implemented at primary care level, aiming to provide timely referra…
  openalex Carol Y. Cheung, Fangyao Tang, Daniel Shu Wei Ting, Gavin Siew Wei Tan 等 2019-01-01 置信度 0.72 Diabetic retinopathyMedicineFundus photographyOptometryOptical coherence tomography
• Role of artificial intelligence in revolutionizing drug discovery
  The application of artificial intelligence (AI) in medicine, particularly through machine learning (ML), marked a significant progression in drug discovery. AI acts as a powerful catalyst in narrowing the gap between disease understanding and the identificatio…
  openalex Ashfaq Ur Rehman, Mingyu Li, Binjian Wu, Yasir Ali 等 2024-05-09 置信度 0.72 ExpeditingDrug discoveryIdentification (biology)Artificial intelligenceComputer science
• Application of Artificial Intelligence in Tissue Engineering
  Tissue engineering, a crucial approach in medical research and clinical applications, aims to regenerate damaged organs. By combining stem cells, biochemical factors, and biomaterials, it encounters challenges in designing complex 3D structures. Artificial int…
  openalex Reza Bagherpour, Ghasem Bagherpour, Parvin Mohammadi 2024-04-06 置信度 0.72 Tissue engineeringRegenerative medicineComputer scienceBiomaterialArtificial intelligence
• Artificial intelligence is poised to revolutionize human liver allocation and decrease medical costs associated with liver transplantation
  openalex Robert Sucher, Elisabeth Sucher 2020-09-25 置信度 0.72 MedicineLiver transplantationTransplantationIntensive care medicineHuman liver
• Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
  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 2019-10-01 置信度 0.72 MedicineTransparency (behavior)DignityInformaticsAccountability
• Artificial Intelligence and Medical Innovation
  openalex Eng Chye Tan 2020-04-30 置信度 0.72 MedicineMEDLINEMedical emergencyLawPolitical science
• Explained Artificial Intelligence Helps to Integrate Artificial and Human Intelligence Into Medical Diagnostic Systems: Analytical Review of Publications
  Artificial intelligence-based medical systems can by now diagnose various disorders highly accurately. However, we should stress that despite encouraging and ever improving results, people still distrust such systems. We review relevant publications over the p…
  openalex Mais Farkhadov, Aleksander Eliseev, Н В Петухова 2020-10-07 置信度 0.72 DistrustComputer scienceArtificial intelligenceData sciencePsychology
• Is artificial intelligence for everyone? Analyzing the role of ChatGPT as a writing assistant for medical students
  This study explores the potential impact of ChatGPT on the academic writing skills development of medical students enrolled in a compulsory 3-unit writing course at a medical university. The research focuses on two primary objectives, which are formulated as t…
  openalex Zahra Shahsavar, Reza Kafipour, Laleh Khojasteh, Farhad Pakdel 2024-12-11 置信度 0.72 VocabularyAcademic writingMedical writingMathematics educationProfessional writing
• Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
  openalex Jiadong Zhang, Jiaojiao Wu, Xiang Sean Zhou, Feng Shi 等 2023-09-12 置信度 0.72 Breast cancerMammographyMedicineArtificial intelligenceInterpretability
• Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
  BACKGROUND: The exceptional capabilities of artificial intelligence (AI) in extracting image information and processing complex models have led to its recognition across various medical fields. With the continuous evolution of AI technologies based on deep lea…
  openalex Wu Quanyang, Huang Yao, Wang Sicong, Qi Linlin 等 2024-04-01 置信度 0.72 InterpretabilityArtificial intelligenceConvolutional neural networkLung cancerDeep learning
• Defining AMIA’s artificial intelligence principles
  Recent advances in the science and technology of artificial intelligence (AI) and growing numbers of deployed AI systems in healthcare and other services have called attention to the need for ethical principles and governance. We define and provide a rationale…
  openalex Anthony Solomonides, Eileen Koski, Shireen M. Atabaki, Scott S. Weinberg 等 2021-11-02 置信度 0.72 Transparency (behavior)AccountabilityAutonomyHealth careBeneficence
• Machine Learning and Artificial Intelligence in Nanomedicine
  Nanomedicine harnesses nanoscale materials, such as lipid, polymeric, and inorganic nanoparticles, to deliver diagnostic or therapeutic agents for cancer, infectious disease, and neurological disorders, among others. However, translating promising nanoparticle…
  openalex Wei‐Chun Chou, Alexa Canchola, Fan Zhang, Zhoumeng Lin 2025-07-01 置信度 0.72 NanomedicineArtificial intelligenceEngineeringComputer scienceNanoparticle
• Artificial Intelligence in Medical Imaging: Analyzing the Performance of ChatGPT and Microsoft Bing in Scoliosis Detection and Cobb Angle Assessment
  Open-source artificial intelligence models (OSAIM) find free applications in various industries, including information technology and medicine. Their clinical potential, especially in supporting diagnosis and therapy, is the subject of increasingly intensive r…
  openalex Artur Fabijan, Agnieszka Zawadzka-Fabijan, Robert Fabijan, Krzysztof Zakrzewski 等 2024-04-05 置信度 0.72 ScoliosisCobb angleArtificial intelligenceCobBIntraclass correlation
• Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
  Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection of cough events by investigating the underlying cough latent features and disease diagnosis can play an indi…
  openalex Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, Tahir Mahmood 等 2022-01-01 置信度 0.72 ModalitiesArtificial intelligenceComputer scienceMachine learningDomain (mathematical analysis)
• Artificial intelligence should be part of medical physics graduate program curriculum
  openalex Lei Xing, Steven J. Goetsch, Jing Cai 2020-11-07 置信度 0.72 CitationLibrary scienceRadiation oncologyComputer sciencePhysics
• Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
  Immunotherapy offers the potential for durable clinical benefit but calls into question the association between tumor size and outcome that currently forms the basis for imaging-guided treatment. Artificial intelligence (AI) and radiomics allow for discovery o…
  openalex Laurent Dercle, Jeremy McGale, Shawn Sun, Aurélien Marabelle 等 2022-09-01 置信度 0.72 RadiomicsMedicineMedical physicsClinical trialMEDLINE
• Toward expert-level medical question answering with large language models
  Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges remain in long-form medical question an…
  openalex K. K. Singhal, Tao Tu, Juraj Gottweis, Rory Sayres 等 2025-01-08 置信度 0.72 Question answeringComputer scienceNatural language processingMedicinePsychology
• Explainable Artificial Intelligence in Medical Imaging: A Case Study on Enhancing Lung Cancer Detection through CT Images
  This study tackles the pressing challenge of lung cancer detection, the foremost cause of cancer-related mortality worldwide, hindered by late detection and diagnostic limitations. Aiming to improve early detection rates and diagnostic reliability, we propose …
  openalex Teuku Rizky Noviandy, Aga Maulana, Teuku Zulfikar, Asep Rusyana 等 2024-05-04 置信度 0.72 Lung cancerCancer imagingComputed tomographyArtificial intelligenceMedical imaging
• Implementing Artificial Intelligence in Higher Education: Pros and Cons from the Perspectives of Academics
  This article investigates the perspectives of Romanian academics on implementing Artificial Intelligence (AI) in Higher Education (HE). The article analyzes the pros and cons of AI in HE, based on the views of eighteen academics from five Romanian universities…
  openalex Alina Iorga Pisica, Tudor Edu, Rodica Milena Zaharia, Rodica Milena Zaharia 等 2023-05-05 置信度 0.72 RomanianInclusion (mineral)Process (computing)UnemploymentHigher education
• Artificial Intelligence Chatbots are New Recruiters
  The purpose of the paper is to assess the artificial intelligence chatbots influence on recruitment process. The authors explore how chatbots offered service delivery to attract and candidates engagement in the recruitment process. The aim of the study is to i…
  openalex Nishad Nawaz, A. Isabella Mary 2019-01-01 置信度 0.72 Computer scienceProcess (computing)Field (mathematics)ChatbotKnowledge management
• Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research
  OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by supporting clinical decision-making, reducing diagnostic errors, and improving workflows and efficiency. However, successful integration of AI-based decision support…
  openalex Tad T. Brunyé, Stephen R. Mitroff, Joann G. Elmore 2025-08-07 置信度 0.72 Computer scienceHealth informaticsAutomationApplications of artificial intelligenceInterface (matter)
• Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions
  Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on the patient's characteristics. Moreover, Healthcare 4.0 enables telemedi…
  openalex Manar Osama, Abdelhamied A. Ateya, Mohammed S. Sayed, Mohamed Hammad 等 2023-08-25 置信度 0.72 Health careTelemedicineWearable computerComputer scienceInternet of Things
• Role of artificial intelligence in MS clinical practice
  Machine learning (ML) and its subset, deep learning (DL), are branches of artificial intelligence (AI) showing promising findings in the medical field, especially when applied to imaging data. Given the substantial role of MRI in the diagnosis and management o…
  openalex Raffaello Bonacchi, Massimo Filippi, Maria A. Rocca 2022-01-01 置信度 0.72 Computer scienceArtificial intelligenceClinical PracticeMachine learningField (mathematics)
• Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know
  openalex Matthias Wagner, Khashayar Namdar, Asthik Biswas, Suranna R. Monah 等 2021-09-18 置信度 0.72 NeuroradiologistArtificial intelligenceNeuroradiologyMachine learningOverfitting
• Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
  Advances in technology have been able to affect all aspects of human life. For example, the use of technology in medicine has made significant contributions to human society. In this article, we focus on technology assistance for one of the most common and dea…
  openalex Mahsa Arabahmadi, Reza Farahbakhsh, Javad Rezazadeh 2022-03-02 置信度 0.72 Deep learningArtificial intelligenceMagnetic resonance imagingMedical imagingComputer science
• The Role of Artificial Intelligence in Improving Diagnostic Accuracy in Medical Imaging: A Review
  This review comprehensively analyzes advancements in artificial intelligence, particularly machine learning and deep learning, in medical imaging, focusing on their transformative role in enhancing diagnostic accuracy. Our in... | Find, read and cite all the r…
  openalex Omar Sabri, Bassam Al-Shargabi, Abdelrahman Abuarqoub 2025-01-01 置信度 0.72 Medical imagingArtificial intelligenceComputer scienceMedical physicsMedicine
• Triboelectric nanogenerator and artificial intelligence to promote precision medicine for cancer
  openalex Meihua Chen, Yuankai Zhou, Jinyi Lang, Lijie Li 等 2021-11-26 置信度 0.72 Triboelectric effectNanogeneratorCancerCancer treatmentCancer therapy
• Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis
  Ultrasound is one of the most important examinations for clinical diagnosis of cardiovascular diseases. The speed of image movements driven by the frequency of the beating heart is faster than that of other organs. This particularity of echocardiography poses …
  openalex Jia Zhou, Meng Du, Shuai Chang, Zhiyi Chen 2021-08-20 置信度 0.72 AngiologyMedicineInternal medicineRadiologyCardiology
• Perceptions of Medical Students towards Artificial Intelligence
  The incorporation of technological advancements, particularly Artificial Intelligence has transformed healthcare systems globally, especially post-COVID-19. Medical education faces challenges in incorporating AI due to instructor shortages and high software co…
  openalex Shazia Rizwan, Shahveir Rizwan, Muhammad Rizwan, Hashim Ali 等 2025-01-31 置信度 0.72 PerceptionPsychologyMathematics educationComputer scienceArtificial intelligence
• A Literature Review on Applications of Explainable Artificial Intelligence (XAI)
  As AI technologies, particularly deep learning models, have advanced, their inherent “black box” nature has raised significant concerns regarding accountability, fairness, and trust, especially in critical domains such as healthcare, finance, and criminal just…
  openalex Khushi Kalasampath, Spoorthi KN, Sreeparvathy Sajeev, Sahil Sarma Kuppa 等 2025-01-01 置信度 0.72 Computer scienceArtificial intelligence
• A dataset of clinically generated visual questions and answers about radiology images
  Radiology images are an essential part of clinical decision making and population screening, e.g., for cancer. Automated systems could help clinicians cope with large amounts of images by answering questions about the image contents. An emerging area of artifi…
  openalex Jason J. Lau, Soumya Gayen, Asma Ben Abacha, Dina Demner‐Fushman 2018-11-20 置信度 0.72 Computer scienceCategorizationQuestion answeringArtificial intelligenceInformation retrieval
• Artificial intelligence for breast cancer analysis: Trends & directions
  openalex Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, Unaiza Sajid 2022-01-06 置信度 0.72 ModalitiesComputer scienceBreast cancerArtificial intelligenceModality (human–computer interaction)
• Influential Usage of Big Data and Artificial Intelligence in Healthcare
  Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhancement in information and communications technology (ICT) has indisputably improved the quality of people's liv…
  openalex Yan Cheng Yang, Saad Ul Islam, Asra Noor, Sadia Khan 等 2021-09-06 置信度 0.72 Big dataeHealthmHealthComputer scienceHealth care
• Identification of Ancient Chinese Medical Prescriptions and Case Data Analysis Under Artificial Intelligence GPT Algorithm: A Case Study of Song Dynasty Medical Literature
  This work aims to use the chatGPT algorithm to analyze and summarize cases in medical literature of the Song Dynasty, understand the clinical practice experience of ancient Chinese medicine, and provide historical reference for the clinical application and res…
  openalex Mengfei Li, Xiaohuan Zheng 2023-01-01 置信度 0.72 Identification (biology)Computer scienceMedical prescriptionAlgorithmAlgorithm design
• Artificial Intelligence In Field of Medical Imaging Informatics
  This paper reviews about application of artificial intelligence in medical image informatics. Additionally, it may enhance therapeutic results and increase the value of medical image analysis in yet-to-be-determined ways. Different techniques of imaging like a…
  openalex Medha Jha, Yasha Hasija 2023-05-12 置信度 0.72 Artificial intelligenceDICOMComputer scienceMedical imagingDeep learning
• Data-Centric Artificial Intelligence
  Abstract Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm that emphasizes the importance of enhancing data systematically and at scale to build effective and efficient AI-based systems. The novel paradigm complements recen…
  openalex Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk 等 2024-03-05 置信度 0.72 Computer scienceApplications of artificial intelligenceField (mathematics)Database-centric architectureData science
• Advancing health equity with artificial intelligence
  openalex Nicole M. Thomasian, Carsten Eickhoff, Eli Y. Adashi 2021-11-22 置信度 0.72 Counterfactual thinkingHealth careHealth policyEquity (law)Public health
• Artificial Intelligence in Nephrology: How Can Artificial Intelligence Augment Nephrologists’ Intelligence?
  BACKGROUND: Artificial intelligence (AI) now plays a critical role in almost every area of our daily lives and academic disciplines due to the growth of computing power, advances in methods and techniques, and the explosion of the amount of data; medicine is n…
  openalex Guotong Xie, Tiange Chen, Yingxue Li, Tingyu Chen 等 2019-12-03 置信度 0.72 PrognosticsMedicineKidney diseaseAugmentIntensive care medicine
• Development of metaverse for intelligent healthcare
  The metaverse integrates physical and virtual realities, enabling humans and their avatars to interact in an environment supported by technologies such as high-speed internet, virtual reality, augmented reality, mixed and extended reality, blockchain, digital …
  openalex Ge Wang, Andreu Badal, Xun Jia, Jonathan S. Maltz 等 2022-11-15 置信度 0.72 MetaverseHealth careComputer scienceBusinessHuman–computer interaction
• Utilizing Artificial Intelligence for Crafting Medical Examinations: A Medical Education Study with GPT-4
  Abstract Background. The task of writing multiple choice question examinations for medical students is complex, timely and requires significant efforts from clinical staff and faculty. Applying artificial intelligence algorithms in this field of medical educat…
  openalex Eyal Klang, Shir Portugez, Raz Gross, Reut Kassif Lerner 等 2023-08-09 置信度 0.72 TerminologyTask (project management)Field (mathematics)Test (biology)Multiple choice
• Interoperability Reference Models for Applications of Artificial Intelligence in Medical Imaging
  Medical imaging is currently being applied in artificial intelligence and big data technologies in data formats. In order for medical imaging collected from different institutions and systems to be used for artificial intelligence data, interoperability is bec…
  openalex Oyun Kwon, Sun Kook Yoo 2021-03-17 置信度 0.72 InteroperabilityDICOMComputer scienceMedical imagingData science
• Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges
  Unmanned aerial vehicles (UAVs) applications have increased in popularity in recent years because of their ability to incorporate a wide variety of sensors while retaining cheap operating costs, easy deployment, and excellent mobility. However, controlling UAV…
  openalex Sifat Rezwan, Wooyeol Choi 2022-01-01 置信度 0.72 Computer scienceSoftware deploymentVariety (cybernetics)Artificial intelligenceOpen research
• Inception Based Medical Image Registration
  crossref Wenrui Yan, Baoju Zhang, Cuiping Zhang, Jin Zhang 等 2022-03-21T09:02:54Z 置信度 0.70
• Deep Learning Estimation of Medical Substance Concentrations Using Pytorch
  crossref Qunsheng Wang, Qiutong Xu, Cheng Wang 2024-03-22T12:03:38Z 置信度 0.70
• Artificial Intelligence, eHealth – die Bedeutung für Patient*innen
  Zusammenfassung Zur Etablierung von eHealth-Konzepten bedarf es konsequenter Zusammenarbeit zwischen Techniker*innen und Ärzt*innen, um der Komplexität des Menschen, seiner Bedürfnisse und Leidenszustände sowie deren adäquater Behandlung gerecht zu werden. Die…
  crossref Henriette Löffler-Stastka, Dietmar Dietrich, Thilo Sauter 2022-07-14T16:03:02Z 置信度 0.70
• IoT based vehicle management system in medical Emergency
  By transforming a personal vehicle into an emergency vehicle, we suggest a revolutionary way to address the issue of delayed medical responses. With IoT sensors, it can pick up green lights while traveling, adjust the hue of its headlights to avoid obstacles, …
  crossref Naman Sharma, Shanky Goyal, Navleen Kaur 2024-06-27T07:16:29Z 置信度 0.70
• From Pixels to Predictions: Exploring the Role of Artificial Intelligence in Radiology
  crossref M. J. Akshit Aiyappa, B. Suresh Kumar Shetty 2024-09-26T14:02:55Z 置信度 0.70
• A collaborative enhanced prediction model with medical knowledge for clinical time series
  crossref Ying An, Yinghong Shi, Qixuan Peng, Lin Guo 等 2026-07-09T19:16:02Z 置信度 0.70
• Застосування технологій штучного інтелекту в сучасному слухопротезуванні: клінічні приклади використання слухових апаратів зі штучним інтелектом
  Втрата слуху є однією з найбільш поширених сенсорних хвороб у світі та суттєво впливає на якість життя пацієнтів. Основною проблемою людей із сенсоневральною приглухуватістю є не лише зниження чутливості до звуку, але й порушення розбірливості мовлення, особли…
  crossref Дидикало Л.І. 2026-05-14T14:38:02Z 置信度 0.70
• Editorial Board
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• Books received
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  crossref 2007-11-09T09:20:34Z 置信度 0.70
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  crossref 2003-03-04T14:05:18Z 置信度 0.70
• Artificial intelligence in catalysis
  crossref Srinivas Rangarajan 2024-01-25T05:49:12Z 置信度 0.70
• Artificial Intelligence and Agents
  Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the m…
  crossref 2023-08-13T20:05:48Z 置信度 0.70
• Explainable Artificial Intelligence in Sustainable Smart Healthcare
  crossref Mohiuddin Ahmed, Shahrin Zubair 2022-04-18T12:03:16Z 置信度 0.70
• Introduction to Artificial Intelligence for Sustainable Development
  crossref Tankiso Moloi 2026-04-22T23:40:54Z 置信度 0.70
• SOME SEMIOTIC REFLECTIONS ON THE FUTURE OF ARTIFICIAL INTELLIGENCE
  In this brief article I shall reflect first on the development of a theoretical model of knowledge elicitation and knowledge representation, derived from semiotic theory and from theatrical performance analysis (Hilton, 1989) and then on the application of som…
  crossref JULIAN HILTON 2007-06-25T01:18:14Z 置信度 0.70
• Re-Imagining Chronic Care: Artificial Intelligence Facilitated Collaborative Decision Making for Diabetes and Hypertension
  Background:Diabetes and hypertension are chronic diseases that pose serious healthcare challenges because of their chronic nature and ongoing need for care. Chronic care has traditionally been non-personalized and not supported by real-time decision making. Ar…
  crossref Narava Suvarna Kumari 2025-12-04T11:27:21Z 置信度 0.70
• Editorial Board
  crossref 2004-01-23T10:18:16Z 置信度 0.70
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• Forthcoming papers
  crossref 2003-09-11T19:30:03Z 置信度 0.70
• Forthcoming papers
  crossref 2003-09-11T23:30:03Z 置信度 0.70
• Books received
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Editorial Board
  crossref 2009-03-23T10:15:19Z 置信度 0.70
• Forthcoming papers
  crossref 2003-03-14T08:02:52Z 置信度 0.70
• Forthcoming papers
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Author index
  crossref 2003-03-14T08:02:52Z 置信度 0.70
• Editorial Board
  crossref 2005-07-03T12:47:38Z 置信度 0.70
• Editorial Board
  crossref 2009-01-28T09:09:26Z 置信度 0.70
• Editorial Board
  crossref 2006-10-20T08:20:49Z 置信度 0.70
• Forthcoming papers
  crossref 2003-09-12T13:20:58Z 置信度 0.70
• Forthcoming papers
  crossref 2003-09-11T23:30:03Z 置信度 0.70
• Forthcoming Papers
  crossref 2002-07-25T11:27:28Z 置信度 0.70
• A fusion framework to extract typical treatment patterns from electronic medical records
  Objective Electronic Medical Records (EMRs) contain temporal and heterogeneous doctor order information that can be used for treatment pattern discovery. Our objective is to identify "right patient", "right drug", "right dose", "right route", and "right time" …
  crossref Jingfeng Chen, Leilei Sun, Chonghui Guo, Yanming Xie 2019-12-28T11:30:35Z 置信度 0.70
• Artificial Intelligence Application to Reduce Cost and Increase Efficiency in the Medical and Educational Sectors
  crossref Khaled Delaim, Muneer Al Mubarak, Ruaa Binsaddig 2023-10-03T07:02:09Z 置信度 0.70
• Artificial Intelligence in Future Telepsychiatry and Psychotherapy for E-Mental Health Revolution
  As socioeconomic conditions improve, people increasingly start utilizing mental health services. In developing countries, there is a dearth of skilled psychotherapists and psychiatrists. Addressing the necessity for mental health facilities among the rural pop…
  crossref Sudhir Hebbar, B Vandana 2023-02-09T11:43:04Z 置信度 0.70
• Application and Analysis of Some Artificial Intelligence Techniques in Medical Imaging Diagnosis
  crossref Boqian Cao 2025-08-31T06:38:25Z 置信度 0.70