The Current and Future State of AI Interpretation of Medical Images

Rajpurkar, Pranav; Lungren, Matthew P.

doi:10.1056/nejmra2301725

reviewNew England Journal of MedicineMay 24, 2023Closed access

The Current and Future State of AI Interpretation of Medical Images

PRPranav Rajpurkar MPMatthew P. Lungren

Harvard University · Artificial Intelligence in Medicine (Canada) · +3 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

The authors examine the advantages and limitations of current clinical radiologic AI systems, new clinical workflows, and the potential effect of generative AI and large multimodal foundation models.

Citation impact

408

total citations

FWCI: 67.45
Percentile: 100%
References: 88

Citations per year

Authors

PR
Pranav RajpurkarCorresponding
Harvard University, Artificial Intelligence in Medicine (Canada), Stanford University
MP
Matthew P. Lungren
Microsoft (United States), University of California, San Francisco, Artificial Intelligence in Medicine (Canada)

Topics & keywords

Topics

AI in cancer detection100%
Artificial Intelligence in Healthcare and Education100%
Radiomics and Machine Learning in Medical Imaging100%

Keywords

Current (fluid)
Interpretation (philosophy)
Workflow
Foundation (evidence)
Computer science
Generative grammar
State (computer science)
Artificial intelligence

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