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Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study

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Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study have?

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Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study has 87 citations in the OpenAlex counts ScholarIQ stores.

When was Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study published?

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Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study has 2024 year in the ScholarIQ index.

What is the open-access status of Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study?

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Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study has gold oa status in the ScholarIQ index.

What is the DOI of Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study?

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The DOI for Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study is on the source record.

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The PMID for Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study is on the source record.

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The OpenAlex for Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study is on the source record.

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