New roles for clinicians in the age of artificial intelligence – EurekAlert

New roles for clinicians in the age of artificial intelligence – EurekAlert

Announcing a new article publication for BIO Integration journal. In this opinion article the authors Fengyi Zeng, Xiaowen Liang and Zhiyi Chen from The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China consider new roles for clinicians in the age of artificial intelligence (AI).

With the rapid developments of digital picture processing, pattern recognition, and intelligent algorithms, artificial intelligence (AI) applications are now widely used in medicine. Applications of artificial intelligence in medicine (AIM) include diagnosis generation, therapy selection, healthcare management and disease stratification. AIM focuses on assisting clinicians in disease detection, quantitative measurements, and differential diagnosis which improves diagnostic accuracy and optimizes treatment selection.

However, there is little research on the consideration of clinicians in the age of AI. Concerns have been raised as to whether doctors will eventually be replaced by AI. From this viewpoint, the authors elaborate on the unlikelihood of AI completely replacing doctors and explore how doctors can adapt their roles to assist successful integration of AI into current medical techniques and procedures.

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Article reference: Fengyi Zeng, Xiaowen Liang and Zhiyi Chen, New Roles for Clinicians in the Age of Artificial Intelligence. BIO Integration, 2020, https://doi.org/10.15212/bioi-2020-0014

BIO Integration is fully open access journal which will allow for the rapid dissemination of multidisciplinary views driving the progress of modern medicine.

As part of its mandate to help bring interesting work and knowledge from around the world to a wider audience, BIOI will actively support authors through open access publishing and through waiving author fees in its first years. Also, publication support for authors whose first language is not English will be offered in areas such as manuscript development, English language editing and artwork assistance.

BIOI is now open for submissions; articles can be submitted online at:

https://mc04.manuscriptcentral.com/bioi

Please visit http://www.bio-integration.org to learn more about the journal.

Editorial Board: https://bio-integration.org/editorial-board/

BIOI is available on the IngentaConnect platform (https://www.ingentaconnect.com/content/cscript/bioi) and at the BIO Integration website (http://www.bio-integration.org).

Submissions may be made using ScholarOne (https://mc04.manuscriptcentral.com/bioi).

There are no author submission or article processing fees.

Follow BIOI on Twitter @JournalBio; Facebook (https://www.facebook.com/BIO-Integration-Journal-108140854107716/) and LinkedIn (https://www.linkedin.com/company/bio-integration-journal/).

ISSN 2712-0074

eISSN 2712-0082

Keywords: Artificial intelligence, chest imaging analysis, COVID-19, deep learning, imaging findings

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