Advancing Medical Research Through Artificial Intelligence: Progressive and Transformative Strategies: A Literature...

Area of Science:

• Medical research
• Artificial intelligence
• Scientific publishing

Background:

• Artificial intelligence (AI) is increasingly integral to medical research.
• AI impacts data analysis, writing assistance, and publishing processes.
• This paper reviews AI's influence on medical research writing.

Purpose of the Study:

• To explore the multifaceted influence of AI on medical research writing.
• To examine AI's role in data analysis, ethical considerations, writing assistance, and publishing efficiency.
• To highlight the benefits and challenges of AI integration in medical research.

Main Methods:

• Systematic review following PRISMA guidelines.
• Comprehensive literature search in Scopus, PubMed, EMBASE, and MEDLINE.
• Inclusion of research publications on AI in medical research up to October 2023.

Main Results:

• AI aids in drafting, grammar/style suggestions, and manuscript enhancement (e.g., ChatGPT).
• Ethical concerns include content ownership and AI bias, necessitating collaborative standard-setting.
• AI optimizes healthcare data analysis, improving outcomes in obstetrics, gynecology, and pharmaceutical research.
• AI streamlines publishing through peer review, quality control, and journal matching.

Conclusions:

• AI integration revolutionizes medical research efficiency and innovation.
• Addressing ethical considerations like bias and ownership is crucial for responsible AI implementation.
• Ongoing research and collaboration are essential for transparent AI use in medical research and publishing.