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Frontiers in Artificial Intelligence is a peer-reviewed journal published by Frontiers, covering Artificial Intelligence in Healthcare and Education, Topic Modeling, Ethics and Social Impacts of AI. Over its lifetime it has published 2,380 papers, which have received 33,428 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Frontiers in Artificial Intelligence, 12(3), pp. 45–58.
Formats any DOI in Frontiers in Artificial Intelligence style. No sign-up. |
| Publishes research in | Artificial Intelligence in Healthcare and Education Topic Modeling Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI) Machine Learning in Healthcare |
| ISSN | 2624-8212 |
| Citation impact (2-yr) | 5.41 |
| h-index | 80 |
| i10-index | 727 |
| Article processing charge | $1,150 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Vellore Institute of Technology University |
| Journal website | www.frontiersin.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This paper presents an analysis of the advantages, limitations, ethical considerations, future prospects, and practical applications of ChatGPT and artificial intelligence (AI) in the healthcare and medical domains. ChatGPT is an advanced language model that uses deep learning techniques to produce human-like responses to natural language inputs. It is part of the family of generative…
Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a massive interest in this field because also applications in many other domains providing big data seem possible. On a downside, the mathematical and computational methodology underlying deep…
AI is one of the most debated subjects of today and there seems little common understanding concerning the differences and similarities of human intelligence and artificial intelligence. Discussions on many relevant topics, such as trustworthiness, explainability, and ethics are characterized by implicit anthropocentric and anthropomorphistic conceptions and, for instance, the pursuit of human-like intelligence as…
With the growth of online social networks platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short text messages. As a result, users often find it challenging to discover useful information or more on the topic being discussed from such content. Machine learning and natural…
Objectives: The medical community is in agreement that artificial intelligence (AI) will have a radical impact on patient care in the near future. The purpose of this study is to assess the awareness of AI technologies among health professionals and to investigate their perceptions towards AI applications in medicine. Design: A web-based Google Forms survey…
