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- W3215115020 abstract "The global clinical artificial intelligence (AI) research landscape is constantly evolving, with heterogeneity across specialties, disease areas, geographical representation, and development maturity. Continual assessment of this landscape is important for monitoring progress. Taking advantage of developments in natural language processing (NLP), we produce an end-to-end NLP pipeline to automate classification and characterization of all original clinical AI research on MEDLINE, outputting real-time results to a public, interactive dashboard (https://aiforhealth.app/)." @default.
- W3215115020 created "2021-12-06" @default.
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- W3215115020 date "2021-11-24" @default.
- W3215115020 modified "2023-10-13" @default.
- W3215115020 title "An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research" @default.
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- W3215115020 doi "https://doi.org/10.1101/2021.11.23.21266758" @default.
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