Artificial Intelligence in Medical Imaging - Baishideng Publishing Group

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Welcome to the Artificial Intelligence in Medical Imaging

Machine-learning requires pre-defined feature inputs which are then extracted in order to classify target image characteristics.

Artificial intelligence -assisted endoscopy and data processing are the currently demonstrated uses for Artificial intelligence.

The flow diagram of radiomics.

Use of computer aided detection to identify polyp, outlined with a blue box.

Nomogram based on the radiomics feature and clinical predictors.

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Application of artificial intelligence-assisted confocal laser endomicroscopy in gastrointestinal imaging analysis

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INDEXING/ABSTRACTING

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GUIDELINES FOR AUTHORS

Artificial Intelligence in Medical Imaging (AIMI, Artif Intell Med Imaging) is a high-quality, open-access academic journal that employs a single-blind peer-review process. The journal focuses on publishing innovative, novel, and practical clinical, basic, and translational research achievements in the fields of artificial intelligence in medical imaging. The types of articles published in AIMI include Editorial, Opinion Review, Frontier, Review, Minireview, Clinical Research, Basic Study, Systematic Review, Meta-analysis, Evidence-based Medicine, Field of Vision, Clinical Guidelines, Letter to the Editor, and Case Report. All submissions must comply with academic norms and ethical requirements. The journal is edited and published by the Baishideng Publishing Group. Submit here >>

2025 Published Issues

Editors-in-Chief

Jun Shen, MD, Professor, (E-mail: shenjun@mail.sysu.edu.cn) Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong Province, China

Indexing/Abstracting

The AIMI is now abstracted and indexed in Reference Citation Analysis, China Science and Technology Journal Database.

Journal Metrics

There is currently no impact factor.

ISSN

2644-3260 (online)

Latest Manuscript Statistics

Received (8), Peer Review Time (5 days/Mean), Time to First Decision (48 days/Mean), Second Decision Time (20 days/Mean), Accepted (25.0%/Mean), Production Time (34 days/Mean), Time to Publication (144 days/Mean), and Rejected (37.5%/Mean).

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Contents Volume 6 Issue 1 June 8, 2025

Editorial

Comprehensive study comparing different machine learning methods in computed tomography imaging