Artificial intelligence
Discover multidisciplinary research that explores the opportunities, applications, and risks of machine learning and artificial intelligence across a broad spectrum of disciplines.
Discover artificial intelligence research from PLOS
From exploring applications in healthcare and biomedicine to unraveling patterns and optimizing decision-making within complex systems, PLOS’ interdisciplinary artificial intelligence research aims to capture cutting-edge methodologies, advancements, and breakthroughs in machine learning, showcasing diverse perspectives, interdisciplinary approaches, and societal and ethical implications.
Given their increasing influence in our everyday lives, it is vital to ensure that artificial intelligence tools are both inclusive and reliable. Robust and trusted artificial intelligence research hinges on the foundation of Open Science practices and the meticulous curation of data which PLOS takes pride in highlighting and endorsing thanks to our rigorous standards and commitment to Openness.
Stay up-to-date on artificial intelligence research from PLOS
Research spotlights
As a leading publisher in the field, these articles showcase research that has influenced academia, industry and/or policy.
Artificial intelligence research topics
PLOS publishes research across a broad range of topics. Take a look at the latest work in your field.
Further digital worlds reading and insights
PLOS publishes a broad range of inter-disciplinary research in digital world spanning multiple journals, disciplines, and regions. Uncover further curated research and insights in the following fields:
Read the latest research developments in your field
Our commitment to Open Science means others can build on PLOS artificial intelligence research to advance the field. Discover selected popular artificial intelligence research below:
PLOS Computational Biology
PLOS Digital Health
PLOS Computational Biology
PLOS Computational Biology
PLOS Computational Biology
Browse the full PLOS portfolio of Open Access artificial intelligence articles
25,938 authors from 133 countries chose PLOS to publish their artificial intelligence research*
Reaching a global audience, this research has received over 5,502 news and blog mentions^
Research in this field has been cited 117,554 times
after authors published in a PLOS journal*
Related PLOS research Collections
Covering a connected body of work and evaluated by leading experts in their respective fields, our Collections make it easier to delve deeper into specific research topics from across the breadth of the PLOS portfolio.
Check out our highlighted PLOS research Collections:
Stay up-to-date on the latest artificial intelligence research from PLOS
Related journals in artificial intelligence
We provide a platform for artificial intelligence research across various PLOS journals, allowing interdisciplinary researchers to explore artificial intelligence research at all preclinical, translational and clinical research stages.
*Data source: Web of Science. © Copyright Clarivate 2024 | January 2004 – January 2024
^Data source: Altmetric.com | January 2004 – January 2024
Breaking boundaries. Empowering researchers. Opening science.
PLOS is a nonprofit, Open Access publisher empowering researchers to accelerate progress in science and medicine by leading a transformation in research communication.
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All PLOS journals are fully Open Access, which means the latest published research is immediately available for all to learn from, share, and reuse with attribution. No subscription fees, no delays, no barriers.
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We push the boundaries of “Open” to create a more equitable system of scientific knowledge and understanding. All PLOS articles are backed by our Data Availability policy, and encourage the sharing of preprints, code, protocols, and peer review reports so that readers get more context.
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PLOS journals publish research from every discipline across science and medicine and related social sciences. Many of our journals are interdisciplinary in nature to facilitate an exchange of knowledge across disciplines, encourage global collaboration, and influence policy and decision-making at all levels
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Our Editorial Boards represent the full diversity of the research and researchers in the field. They work in partnership with expert peer reviewers to evaluate each manuscript against the highest methodological and ethical standards in the field.
Rigorous peer review
Our rigorous editorial screening and assessment process is made up of several stages. All PLOS journals use anonymous peer review by default, but we also offer authors and reviewers options to make the peer review process more transparent.