Human and AI Collaborative Decision Making in Healthcare

A special issue of Informatics (ISSN 2227-9709). This special issue belongs to the section "Health Informatics".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 256

Special Issue Editors

School of Computing and Information Systems, University of Melbourne, Parkville, VIC 3010, Australia
Interests: artificial intelligence; health informatics; optimization; data mining; medical decision support
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) has been used frequently in many areas including healthcare and medicine. It has facilitated the development of models for decision-making due to computers’ processing ability to handle big data and large amounts of information. However, humans are better at working with unstructured information and dealing with uncommon situations. Therefore, collaborative decision-making can provide an opportunity to collect more information sources that improve the accuracy and reliability of prediction and decision-making models. In addition, explainability and transparency are always concerns when AI models make decisions in healthcare. Collaborative decision-making by providing interaction between clinicians and AI models can result in more transparent decision-making. Thus, intelligent decision-making would be better understood by clinicians. From another point of view, decisions made by both clinicians and AI models are associated with uncertainty due to the nature of human thinking and the prevalence of uncertainty in data. Collaborative decision-making contributes to capture all types of uncertainty as a source of information to make robust decisions. Although there have been some studies that addressed the need for these types of decision-making, few studies have worked on developing collaborative decision-making systems.

This Special Issue aims to highlight the importance of collaboration between clinicians and AI models and initiate developing collaborative decision-making systems with applications in healthcare decision-making. The Special Issue invites submissions from researchers and practitioners who work on group decision-making, explainable AI, uncertainty, and human–computer interaction (HCI).

You may choose our Joint Special Issue in IJERPH.

Dr. Hadi Akbarzadeh Khorshidi
Prof. Dr. Uwe Aickelin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human and AI collaboration in healthcare decision making
  • collaborative decision-making systems
  • interpretable AI models in collaborative decision making in healthcare
  • group decision-making between clinicians and AI
  • human-computer interaction in decision-making in healthcare
  • multicriteria decision-making (MCDM) in machine learning
  • ensemble learning under uncertainty

Published Papers

There is no accepted submissions to this special issue at this moment.
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