Guidelines on the use of Artificial Intelligence for authors, reviewers, and editors of APJCN.

Recommendations on the Use of Artificial Intelligence (AI) in Scholarly Communication

The recent development of Large Language Models (LLMs) and Generative AI (GenAI) presents new challenges and opportunities in scholarly communication. This has resulted in diverse policies of journals, publishers, and funders around the use of AI tools. Research studies, including surveys, suggest that researchers are...

Artificial Intelligence in the Preparation of Scientific Articles

The use of artificial intelligence (AI) tools in the preparation of scientific publications has become an integral part of research practice. Large language models assist in translating and editing texts, structuring articles, drafting abstracts, adapting manuscripts to journal requirements, and accelerating preliminar...

A Review of the TITAN Guideline: Advancing Transparency and Responsible Artificial Intelligence Use in Medical Research and Scholarly Publishing

The TITAN guidelines are reviewed as a practical framework for improving transparency and responsible reporting of AI use in medical research and scholarly publishing and can accommodate emerging AI technologies, including multimodal and agentic systems.

Navigating the use of artificial intelligence in the peer review process: Cautionary pearls from the editorial board

AI and Academic Publication: The Good, the Bad, and the Ugly

The task for journals is not to pretend that AI can be excluded from scholarly writing, but to decide how it should be used, disclosed, governed, and judged.

FIELDS AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN SCIENTIFIC RESEARCH

The current study aims to identify the conceptual framework of artificial intelligence and determine its fields. It also seeks to identify a range of artificial intelligence techniques and applications that benefit doctoral students and assist them in preparing scientific research. The study sample consisted of 51 doct...