Where medical statistics meets artificial intelligence
Where Medical Statistics Meets Artificial Intelligence | New England Journal of Medicine Skip to
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Artificial intelligence in medicine
Artificial Intelligence in Medicine The editors announce both a series of articles focusing on
AI and machine learning in health care and the 2024 launch of a new journal, NEJM AI, a …
AI and machine learning in health care and the 2024 launch of a new journal, NEJM AI, a …
Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research
The Checklist for Artificial Intelli-gence in Medical Imaging (CLAIM) promotes transparent
and reproducible reporting of artificial intelligence (AI) research in medical imaging, and has …
and reproducible reporting of artificial intelligence (AI) research in medical imaging, and has …
[图书][B] Interpreting epidemiologic evidence: strategy for study design and analysis
DA Savitz - 2003 - synapse.koreamed.org
chapter. In this point,“Interpreting Epidemiologic Evidence: Strategy for Study Design and
Analysis” written by Savitz [1] is a good book for readers who are not familiar with statistics …
Analysis” written by Savitz [1] is a good book for readers who are not familiar with statistics …
Believing in black boxes: machine learning for healthcare does not need explainability to be evidence-based
Objective To examine the role of explainability in machine learning for healthcare (MLHC),
and its necessity and significance with respect to effective and ethical MLHC application …
and its necessity and significance with respect to effective and ethical MLHC application …
Questions for artificial intelligence in health care
Artificial intelligence (AI) is gaining high visibility in the realm of health care innovation.
Broadly defined, AI is a field of computer science that aims to mimic human intelligence with …
Broadly defined, AI is a field of computer science that aims to mimic human intelligence with …
Toward evidence-based medical statistics. 2: The Bayes factor
SN Goodman - Annals of internal medicine, 1999 - acpjournals.org
Bayesian inference is usually presented as a method for determining how scientific belief
should be modified by data. Although Bayesian methodology has been one of the most …
should be modified by data. Although Bayesian methodology has been one of the most …
Statistical inference enables bad science; statistical thinking enables good science
C Tong - The American Statistician, 2019 - Taylor & Francis
Scientific research of all kinds should be guided by statistical thinking: in the design and
conduct of the study, in the disciplined exploration and enlightened display of the data, and …
conduct of the study, in the disciplined exploration and enlightened display of the data, and …
Harnessing the promise of artificial intelligence responsibly
We are now in an exceptional time: algorithms driven by artificial intelligence (AI) and
related approaches are seemingly ubiquitous, are heavily promoted, and hold great …
related approaches are seemingly ubiquitous, are heavily promoted, and hold great …
[图书][B] Study guide to epidemiology and biostatistics
JR Hebel, R McCarter - 2011 - books.google.com
Help your students understand some of the most elusive fundamentals of epidemiology and
biostatistics with this fully updated revision of the bestselling Study Guide to Epidemiology …
biostatistics with this fully updated revision of the bestselling Study Guide to Epidemiology …