- 3.3Impact Factor
- 7.7CiteScore
- 20 daysTime to First Decision
Global Health Policy, Health Services and System, and E-health
This special issue belongs to the section “Health, Well-Being and Sustainability“.
Special Issue Information
Dear Colleagues,
With the increasing availability of big data and machine learning techniques, artificial intelligence has reached all aspects of our lives. Healthcare is no exception. A recent literature review1 revealed that the number of studies on applications of AI in healthcare has increased exponentially in the past ten years. The most common areas of AI applications in healthcare include robot-assisted surgery, disease diagnosis and prediction, and personalised medicine. Not much many AI studies have investigated issues regarding clinical effectiveness, patient safety, and cost-effectiveness2. The ability to identify causal relationships rather than statistical correlations is also a challenge that has not been overcome by current AI health studies.
This Special Issue invites AI studies on healthcare, especially thorough examinations of clinical effectiveness, patient safety and cost-effectiveness of AI applications in healthcare. Answers to these three areas will lead to improving the confidence of policymakers and the public in AI-based health services.
Studies to be presented in this Special Issue will provide more diverse evidence of the efficacy of AI applications in healthcare. This Special Issue also aims to fill the knowledge gap in identifying the clinical- and cost-effectiveness of AI. Risk-mitigation strategies to address the potential moral or technical failure of potential AI-based health services will also be discussed in this Special Issue.
References:
- Bach X Tran, Son Nghiem, Oz Sahin, Giang H Ha, Giang T Vu, Hai Q Pham, Hoa Thi Do, Carl A Latkin, Wilson Tam, Cyrus SH Ho, Roger CM Ho. Modeling Research Topics of Artificial Intelligence Applications in Medicine (GAPRESEARCH): a Latent Dirichlet Allocation application, Journal of Medical Internet Research, 2019, DOI:10.2196/15511
- Maddox TM, Rumsfeld JS, Payne PRO. Questions for Artificial Intelligence in Health Care. JAMA. 2019;321(1):31–32. DOI:10.1001/jama.2018.18932
Dr. Son Nghiem
Dr. Bach Tran
Guest Editors
Manuscript Submission Information
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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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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
- artificial intelligence
- healthcare
- big data
- machine learning
- efficacy
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