Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 74 checked references that resolve
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resolves10.1016/j.ijhcs.2021.102607Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
resolves10.17705/1CAIS.02729Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis
resolves10.1038/s41591-018-0177-5Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
resolves10.1287/mnsc.35.8.982User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
resolves10.1016/j.giq.2015.06.003A generalised adoption model for services: A cross-country comparison of mobile health (m-health)
resolves10.1016/j.tourman.2014.01.017Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model
resolves10.1016/j.ijmedinf.2011.10.004Effects of two different levels of computerized decision support on blood glucose regulation in critically ill patients
resolves10.1007/s10479-018-2818-yInvestigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)
resolves10.3389/fonc.2019.00471Radiologic Modalities and Response Assessment Schemes for Clinical and Preclinical Oncology Imaging
resolves10.1016/j.techsoc.2021.101535A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application
resolves10.5465/amr.2019.0178The Role of Artificial Intelligence and Data Network Effects for Creating User Value
resolves10.1007/s11747-014-0403-8A new criterion for assessing discriminant validity in variance-based structural equation modeling
resolves10.1016/j.ijhcs.2016.02.001Leveraging Microsoft׳s mobile usability guidelines: Conceptualizing and developing scales for mobile application usability
resolves10.2196/medinform.8912Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis
resolves10.1016/j.chb.2017.01.001Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry
resolves10.1016/j.chb.2021.106878The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers
resolves10.1016/S2589-7500(21)00086-8Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
resolves10.1016/j.jbi.2017.07.009On the utility of 3D hand cursors to explore medical volume datasets with a touchless interface
resolves10.1016/j.im.2011.09.006Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective
resolves10.1080/00273171.2019.1602503Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and Set-ESEM: Optimal Balance Between Goodness of Fit and Parsimony
resolves10.1148/radiol.2020201874COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
resolves10.1111/joca.12267Health Literacy, Health Numeracy, and Trust in Doctor: Effects on Key Patient Health Outcomes
resolves10.1145/2876456.2879485Computational Methods for the Natural and Intuitive Visualization of Volumetric Medical Data
resolves10.1016/j.chb.2021.106795Use of offensive language in human-artificial intelligence chatbot interaction: The effects of ethical ideology, social competence, and perceived humanlikeness
resolves10.1016/j.chb.2021.106855What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry
resolves10.1148/radiol.2020190283Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI
resolves10.1007/s10796-017-9801-zIntention to Use a Mobile-Based Information Technology Solution for Tuberculosis Treatment Monitoring – Applying a UTAUT Model
resolves10.1016/j.chb.2018.01.023Scales for measuring user engagement with social network sites: A systematic review of psychometric properties
resolves10.1002/mar.20823Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust
resolves10.1016/j.tele.2019.101324Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products
resolves10.1016/j.chb.2020.106486Technostress operationalised as information and communication technology (ICT) demands among managers and other occupational groups – Results from the Swedish Longitudinal Occupational Survey of Health (SLOSH)
resolves10.1108/IntR-12-2012-0244Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India
resolves10.3389/fpubh.2021.755644Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians
resolves10.2307/30036540User Acceptance of Information Technology: Toward A Unified View1
resolves10.17705/1jais.00428Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
resolves10.1108/07363761011038338Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services
resolves10.2196/27122Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study
resolves10.1016/j.chb.2016.07.037The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre- and post-adopters
The 41 references without a DOI — listed, not checked
no DOI — not checkedDeath vs. data science: Predicting end of life
no DOI — not checkedThe theory of planned behavior
no DOI — not checkedGuidelines for human-ai interaction
no DOI — not checkedInvestigating the role of moral decision-making in emerging artificial intelligence technologies
no DOI — not checkedAifred health, a deep learning powered clinical decision support system for mental health
no DOI — not checkedThe effects of example-based explanations in a machine learning interface
no DOI — not checkedMedical Imaging Multimodality Breast Cancer Diagnosis User Interface
no DOI — not checkedMedical imaging diagnosis assistant: Ai-assisted radiomics framework user validation
no DOI — not checkedBreastscreening: A multimodality diagnostic assistant
no DOI — not checkedEnd-user perception towards pervasive cardiac healthcare services: Benefits, acceptance, adoption, risks, security, privacy and trust
no DOI — not checkedClinical decision support systems for appropriate medical imaging: Clinical evidence and cost-effectiveness
no DOI — not checkedref43
no DOI — not checkedref44
no DOI — not checkedThe effects of clinical decision support systems on medication safety: an overview
no DOI — not checkedAdoption of online follow-up service by patients: An empirical study based on the elaboration likelihood model
no DOI — not checkedDesigning medical artificial intelligence for in-and out-groups
no DOI — not checkedThe roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services
no DOI — not checkedPersuasive robotic assistant for health self-management of older adults: Design and evaluation of social behaviors
no DOI — not checkedInteraction techniques for immersive ct colonography: A professional assessment
no DOI — not checkedArtificial intelligence service recovery: The role of empathic response in hospitality customers' continuous usage intention
no DOI — not checkedDeep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease
no DOI — not checkedExtending the technology acceptance model to account for social influence: theoretical bases and empirical validation
no DOI — not checkedref67
no DOI — not checkedAre regulations safe? reflections from developing a digital cancer decision-support tool
no DOI — not checkedref74
no DOI — not checkedref76
no DOI — not checked2018. I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence
no DOI — not checkedPhysician confidence in artificial intelligence: An online mobile survey
no DOI — not checkedref84
no DOI — not checkedAmbiguity-aware ai assistants for medical data analysis
no DOI — not checkedTrust, perceived risk, perceived ease of use and perceived usefulness as factors related to mhealth technology use
no DOI — not checkedCorrelation of ultrasound tomography to mri and pathology for the detection of prostate cancer
no DOI — not checkedThe Oxford Handbook of Positive Psychology
no DOI — not checkedVRRRRoom: Virtual Reality for Radiologists in the Reading Room
no DOI — not checkedAn overview of clinical decision support systems: benefits, risks, and strategies for success
no DOI — not checkedref104
no DOI — not checkedPerception of privacy and security for acceptance of e-health technologies: Exploratory analysis for diverse user groups
no DOI — not checkedIs utaut really used or just cited for the sake of it? a systematic review of citations of utaut's originating article
no DOI — not checkedPerceived city smartness level and technical information transparency: The acceptance intention of health information technology during a lockdown
no DOI — not checkedUnremarkable ai: Fitting intelligent decision support into critical, clinical decision-making processes
no DOI — not checkedPsychosocial factors affecting artificial intelligence adoption in health care in china: Cross-sectional study
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