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Thematic series: Explainable AI in Medical Informatics and Decision Support

BMC Medical Informatics and Decision Making is pleased to announce papers included as part of the thematic series "Explainable AI in Medical Informatics and Decision Support" are now being published.  With this collection, we  want to inspire cross-domain experts interested in artificial intelligence and machine learning to stimulate research on explainable AI.

Articles

Aims and scope

BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.

Peer Review Taxonomy

This journal is participating in a pilot of NISO/STM's Working Group on Peer Review Taxonomy, to identify and standardize definitions and terminology in peer review practices in order to make the peer review process for articles and journals more transparent. Further information on the pilot is available here.

The following summary describes the peer review process for this journal:

  • Identity transparency: Single anonymized
  • Reviewer interacts with: Editor
  • Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

We welcome your feedback on this Peer Review Taxonomy Pilot. Please can you take the time to complete this short survey.

Editor

Assistant Editor

  • Catherine Rice, BMC Series, UK



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