Big Data and Machine Learning in Health Care
2018 · JAMA · 2,002 citations
https://doi.org/10.1001/jama.2017.18391
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Andrew L. Beam
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Andrew L. Beam is an academic researcher from Harvard University. The author has contributed to research in topics: Artificial Intelligence in Healthcare and Education & Machine Learning in Healthcare & COVID-19 diagnosis using AI. The author has an h-index of 41, co-authored 125 publications.
ORCID: 0000-0002-6657-2787Papers by this author
worksTRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024 · BMJ · 1,560 citations
https://doi.org/10.1136/bmj-2023-078378
The false hope of current approaches to explainable artificial intelligence in health care
2021 · The Lancet Digital Health · 1,176 citations
https://doi.org/10.1016/s2589-7500(21)00208-9
Adversarial attacks on medical machine learning
2019 · Science · 956 citations
https://doi.org/10.1126/science.aaw4399
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
2020 · Nature Medicine · 911 citations
https://doi.org/10.1038/s41591-020-1034-x
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
2021 · BMJ Open · 724 citations
https://doi.org/10.1136/bmjopen-2020-048008
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