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Communications Medicine is a peer-reviewed journal published by Springer Nature, covering SARS-CoV-2 and COVID-19 Research, COVID-19 epidemiological studies, COVID-19 Clinical Research Studies. Over its lifetime it has published 1,717 papers, which have received 17,800 citations.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Communications Medicine 12, 45–58 (2023).
Formats any DOI in Communications Medicine style. No sign-up. |
| Publishes research in | SARS-CoV-2 and COVID-19 Research COVID-19 epidemiological studies COVID-19 Clinical Research Studies Artificial Intelligence in Healthcare and Education Long-Term Effects of COVID-19 |
| ISSN | 2730-664X |
| Citation impact (2-yr) | 5.03 |
| h-index | 53 |
| i10-index | 463 |
| Article processing charge | $2,808 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Harvard University |
| Journal website | www.nature.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI's ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate text on a level that is nearly indistinguishable from human capabilities. The possibility to actively…
An increasing array of tools is being developed using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development of an optimal tool requires multidisciplinary engagement to ensure that the appropriate use case is met, as well as to undertake robust development and testing prior to its adoption into healthcare systems. This multidisciplinary…
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Several sources of bias can affect the performance of machine learning systems used in medicine and potentially impact clinical care. Here, we discuss solutions to mitigate bias across the different development steps of machine learning-based systems for medical applications. Vokinger et al. discuss potential sources of bias in machine learning systems used in medicine. The…
