ArticleJournal of medical Internet research2023
Artificial Intelligence in Medicine: Text Mining of Health Care Workers' Opinions.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Determinants of medical students' attitudes toward artificial intelligence: a cross-sectional study and implications for medical education.BMC medical education · 2026Article
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- Artificial Intelligence in Healthcare: University Students' Perceptions and Level of Confidence.Healthcare (Basel, Switzerland) · 2025Article
- Artificial Intelligence in the Management of Hereditary and Acquired Hemophilia: From Genomics to Treatment Optimization.International journal of molecular sciences · 2025Review
- Driving and Restraining Forces in the Implementation of Information Systems in the Public Sector: Scoping Review.JMIR human factors · 2025Article
- Navigating the AI Revolution in Medicine-Adopting Strategies for Medical Education.Medical science educator · 2025Article
- Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model.Scientific reports · 2025Article
- Understanding Providers' Attitude Toward AI in India's Informal Health Care Sector: Survey Study.JMIR formative research · 2025Article
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- Current status, challenges, and prospects of artificial intelligence applications in wound repair theranostics.Theranostics · 2025Review
- Defining medical liability when artificial intelligence is applied on diagnostic algorithms: a systematic review.Frontiers in medicine · 2023Review
- Harnessing Artificial Intelligence in Cardiology: Advancements in Diagnosis, Treatment, and Patient Care.Heart views : the official journal of the Gulf Heart AssociationReview
- Artificial intelligence enhanced Chatbot boom: A single center observational study to evaluate assistance in clinical anesthesiology.Journal of anaesthesiology, clinical pharmacologyArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is being increasingly adopted in the health care industry for administrative tasks, patient care operations, and medical research.
objectiveWe aimed to examine health care workers' opinions about the adoption and implementation of AI-powered technology in the health care industry.
methodsData were comments about AI posted on a web-based forum by 905 health care professionals from at least 77 countries, from May 2013 to October 2021. Structural topic modeling was used to identify the topics of discussion, and hierarchical clustering was performed to determine how these topics cluster into different groups.
resultsOverall, 12 topics were identified from the collected comments. These comments clustered into 2 groups: impact of AI on health care system and practice and AI as a tool for disease screening, diagnosis, and treatment. Topics associated with negative sentiments included concerns about AI replacing human workers, impact of AI on traditional medical diagnostic procedures (ie, patient history and physical examination), accuracy of the algorithm, and entry of IT companies into the health care industry. Concerns about the legal liability for using AI in treating patients were also discussed. Positive topics about AI included the opportunity offered by the technology for improving the accuracy of image-based diagnosis and for enhancing personalized medicine.
conclusionsThe adoption and implementation of AI applications in the health care industry are eliciting both enthusiasm and concerns about patient care quality and the future of health care professions. The successful implementation of AI-powered technologies requires the involvement of all stakeholders, including patients, health care organization workers, health insurance companies, and government regulatory agencies.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.