Enhancing Scientific Rigor With Editorial Roles and AI: Insights From Evaluating Manuscripts in Digital Health and Personalized Medicine

Abstract

In the evolving landscape of open-access scientific journals, the roles of editors and reviewers are crucial in ensuring quality and integrity. This chapter analyzes the experiences of two college professors—a cell biologist/biophysicist and a computer scientist—who, in addition to various fields of study, have edited and reviewed over 50 high-impact journal manuscripts related to digital health (DH) and precision/personalized medicine (PM). Their journey underscores the importance of multi-disciplinary approaches and artificial intelligence (AI) in evaluating complex research. The chapter highlights specific cases of DH and PM illustrating how digital solutions and AI have shaped their perspectives. Key elements of robust manuscript evaluation, such as methodological rigor and clinical relevance, are discussed. The chapter explores the emerging role of AI in enhancing the editorial process, from initial screening to detailed analysis. The findings advocate for active participation in peer review and editorial roles, emphasizing their benefits.