An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research
- PMID: 35337638
- PMCID: PMC9150439
- DOI: 10.1016/S2589-7500(22)00032-2
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research
Conflict of interest statement
This publication did not receive any direct funding. Views expressed are authors’ own. JZ receives funding from the Wellcome Trust (203928/Z/16/Z) and acknowledges support from the National Institute for Health Research Biomedical Research Centre based at Imperial College NHS Trust and Imperial College London. SB receives funding from the Wellcome Trust (566701). LAC receives funding from the National Institute of Health (NIBIB R01 EB017205). We would like to thank the team at SparkNLP for academic licensing rights to use their named entity recognition engine. All data and codes are available for the public through the open access Github repository. Datasets are available to download through the online dashboard.
References
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- Muehlematter UJ, Daniore P, Vokinger KN. Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis. Lancet Digit Health 2021; 3: e195–203. - PubMed
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- Ibrahim H, Liu X, Zariffa N, Morris AD, Denniston AK. Health data poverty: an assailable barrier to equitable digital health care. Lancet Digit Health 2021; 3: e260–65. - PubMed
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