Research map: How healthcare professionals perceive artificial intelligence risks: A grounded theory exploration of antecedents, dimensions, and outcomes

Back to the article

Papers in this map

  1. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology · Fred D. Davis · 1989 · 67846 citations · Cited by this paper
  2. Ethical concerns toward medical artificial intelligence and acceptance intentions: a structural equation modeling analysis of the risk perception–trust pathway · ShengLi Gu · 2026 · Cites this paper
  3. Deep neural network-based robust framework for automated skin lesion segmentation and analysis · 2026 · Related
  4. User Acceptance of Information Technology: Toward A Unified View1 · Viswanath Venkatesh · 2003 · 44748 citations · Cited by this paper
  5. Governance fragmentation and sociotechnical misalignment in hybrid telemedicine care pathways: A qualitative study · 2026 · Related
  6. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI · Alejandro Barredo Arrieta · 2019 · 10061 citations · Cited by this paper
  7. Quality and reliability of video based information on intracerebral hemorrhage on TikTok and Bilibili: A cross sectional study · 2026 · Related
  8. Perception of Risk · Paul Slovic · 1987 · 9302 citations · Cited by this paper
  9. Refining the evaluation of knee osteoarthritis videos: Patient perspectives, scientific accuracy, and professional engagement · 2026 · Related
  10. The global landscape of AI ethics guidelines · Anna Jobin · 2019 · 5961 citations · Cited by this paper
  11. Self-attention U-Net (SAU-Net): An attention-driven U-Net framework for precise brain tumor segmentation using multimodal magnetic resonance imaging · 2026 · Related
  12. Code Saturation Versus Meaning Saturation · Monique M. Hennink · 2016 · 4560 citations · Cited by this paper
  13. Interactive virtual reality exposure therapy vs metaphor-based VR for social anxiety disorder: Protocol for an active-comparator randomized trial with digital phenotyping · 2026 · Related
  14. Putting the fear back into fear appeals: The extended parallel process model · Kim Witte · 1992 · 3923 citations · Cited by this paper
  15. Feasibility of a live-stream group dance intervention with inpatients in subacute post-stroke rehabilitation: A pilot study · 2026 · Related
  16. Predicting e-services adoption: a perceived risk facets perspective · Mauricio S. Featherman · 2003 · 3317 citations · Cited by this paper
  17. Machine learning-based classification of HIV viral load suppression in low-resource settings · 2026 · Related
  18. AI in health and medicine · Pranav Rajpurkar · 2022 · 2930 citations · Cited by this paper
  19. Gender-specific classification of subclinical liver and renal dysfunction in older adults using machine learning and cytokine profiling · 2026 · Related
  20. Information Privacy Research: an Interdisciplinary Review1 · Smith · 2011 · 2030 citations · Cited by this paper
  21. The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI · Donghee Shin · 2020 · 1481 citations · Cited by this paper
  22. Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model · Marcel Heerink · 2010 · 1236 citations · Cited by this paper
  23. Diffusion of preventive innovations · Everett M. Rogers · 2002 · 1052 citations · Cited by this paper
  24. Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability · Alex John London · 2019 · 807 citations · Cited by this paper
  25. Artificial Intelligence in Medical Practice: The Question to the Answer? · D. Douglas Miller · 2017 · 796 citations · Cited by this paper
  26. Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits · Shuiqing Yang · 2011 · 682 citations · Cited by this paper
  27. Bias in AI-based models for medical applications: challenges and mitigation strategies · Mirja Mittermaier · 2023 · 375 citations · Cited by this paper
  28. Will artificial intelligence solve the human resource crisis in healthcare? · Bertalan Meskó · 2018 · 367 citations · Cited by this paper
  29. Artificial intelligence in health care: accountability and safety · Ibrahim Habli · 2020 · 351 citations · Cited by this paper
  30. A Causal Model Explaining the Perception and Acceptance of Gene Technology1 · Michael Siegrist · 1999 · 301 citations · Cited by this paper
  31. The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context · Wissal Ben Arfi · 2021 · 292 citations · Cited by this paper
  32. Innovation and challenges of artificial intelligence technology in personalized healthcare · Yu-Hao Li · 2024 · 277 citations · Cited by this paper
  33. Electronic health record acceptance by physicians: Testing an integrated theoretical model · Marie‐Pierre Gagnon · 2013 · 251 citations · Cited by this paper
  34. Explainable AI for Bioinformatics: Methods, Tools and Applications · Md. Rezaul Karim · 2023 · 199 citations · Cited by this paper
  35. Physicians’ acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk · Pi-Jung Hsieh · 2014 · 161 citations · Cited by this paper
  36. Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges · Gabrielle Chenais · 2022 · 139 citations · Cited by this paper
  37. Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis · Moustafa Abdelwanis · 2024 · 136 citations · Cited by this paper
  38. Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective · Jinxin Pan · 2018 · 132 citations · Cited by this paper
  39. Developing Grounded Theory · Janice M. Morse · 2020 · 107 citations · Cited by this paper

Source: OpenAlex (CC0)