ArticleJournal of medical Internet research2023
Human-Centered Design to Address Biases in Artificial Intelligence.
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 55 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Representation of Rural Older Adults in AI for Health Research: Systematic Literature Review.JMIR human factors · 2025Pooled it
- Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis.Journal of medical Internet research · 2025Pooled it
- The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects.Healthcare (Basel, Switzerland) · 2026Review
- Review
- Adapting quality function deployment to translate patient feedback into prioritized technical requirements for healthcare artificial intelligence.Scientific reports · 2026Article
- Ethical examination of AI coaches: privacy, bias, and responsibility.Frontiers in digital health · 2026Article
- Human-centered AI in healthcare teams: integrating clinical oversight, EHR auditability, and reimbursement pathways for responsible adoption.Frontiers in digital health · 2026Review
- Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare.Complex & intelligent systems · 2026Article
- Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step.JAMIA open · 2025Article
- AI models, bias and data sharing efforts to tackle Alzheimer's disease and related dementias.The journal of prevention of Alzheimer's disease · 2025Article
- Face2Bone explainable AI model predicts osteoporosis risk from facial images in proof of concept study.Scientific reports · 2025Observational
- Credible inferences in microbiome research: ensuring rigour, reproducibility and relevance in the era of AI.Nature reviews. Gastroenterology & hepatology · 2025Review
- Identifying Firearm Violence Exposure in Primary Care Clinical Notes: Protocol for Developing a National Language Processing Text Classifier.JMIR research protocols · 2025Article
- The revolutionary impact of artificial intelligence in orthopedics: comprehensive review of current benefits and challenges.Journal of robotic surgery · 2025Review
- An Ontology Proposal for Implementing Digital Twins in Hospitality: The Case of Front-End Services.Sensors (Basel, Switzerland) · 2025Article
- Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review.PLOS digital health · 2025Article
- Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends.Cureus · 2025Review
- Evaluation of the Reliability of ChatGPT to Provide Guidance on Recombinant Zoster Vaccination for Patients With Rheumatic and Musculoskeletal Diseases.Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases · 2025Article
- Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review.JMIR human factors · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The potential of artificial intelligence (AI) to reduce health care disparities and inequities is recognized, but it can also exacerbate these issues if not implemented in an equitable manner. This perspective identifies potential biases in each stage of the AI life cycle, including data collection, annotation, machine learning model development, evaluation, deployment, operationalization, monitoring, and feedback integration. To mitigate these biases, we suggest involving a diverse group of stakeholders, using human-centered AI principles. Human-centered AI can help ensure that AI systems are designed and used in a way that benefits patients and society, which can reduce health disparities and inequities. By recognizing and addressing biases at each stage of the AI life cycle, AI can achieve its potential in health care.
Indexed as
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.