Medical Artificial Intelligence (MAI) is an open-access, peer-reviewed online journal dedicated to the fast publication of research from a wide variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine and health care. With the aim of promoting the development of medicine-related artificial intelligence, MAI provides an international forum for both the medical practitioners and AI technicians to share their cutting-edge research results in medicine-oriented AI in real word.

MAI is primarily devoted to publishing high-quality original research papers in all the fields related to AI and medical service which include but are not limited to robotic surgery system, disease diagnosis and prediction, image analysis, gene mutation prediction, medical statistics, human biology, omics technology, simulation and prediction of treatment effects and outcomes, and electronic medical records.

MAI primarily publishes original research contributions and methodological reviews/surveys, and also publishes editorials, hypotheses and letters to editors as appropriate. The research may involve nonclinical or clinical studies and may utilize in vivo, ex vivo or in vitro approaches. 

Please join us in this open-access endeavor by submitting your high-quality papers for publication in MAI.

Journal Information

Full Journal Title: Medical Artificial Intelligence

Abbreviated Title: Med Artif Intell

ISSN (electronic): 2957-5524

Language: English

Publication Frequency: Annual

Publication Medium: Online

First Year Published: 2025

Indexing Database: Crossref, Dimensions, Europub, Google Scholar

Journal Owner: College of Medical Instrumentation, Shanghai University of Medicine and Health Sciences

Publisher: ZENTIME PUBLISHING CORPORATION LIMITED 

Location: Kowloon, Hong Kong

Editors: See: Editorial Board

Note: ZENTIME does not participate in editorial decision-making and has no influence over academic evaluation or content. All editorial decisions are made independently by the editorial teams of the respective journals.