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Enhancing real-world studies with artificial intelligence: addressing ethical and quality challenges

Year: 2024

Type: editorial

Abstract: Real-world studies have been widely conducted in medical research to generate evidence for improving clinical decision-making. However, several issues arise when conducting prospective real-world studies, including a lack of informed consent, increased patient burden, potential decision bias, and the risk of sales promotion. These challenges can compromise real-world studies’ integrity, ethics, and reliability. This editorial explores how integrating artificial intelligence technologies can help address the challenges associated with conducting prospective real-world studies.

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/vcm/2024009/pdf

Authors: Ji-Bin Li, Chao-Nan Qian

Institutions: Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W6941012409

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