The record
- Full journal title
- Artificial Intelligence in Precision Medicine
- Abbreviation
- aipm
- NLM title
- Artif Intell Precis Med
- Publisher
- Brieflands
- Scientific collaborator
- Functional Neurosurgery Research Center, SBMU
- e-ISSN
- 2950-2934
- Language
- English
- Frequency
- annually
- Publishing model
- Per-article continuous
- Subject area
- Physiology
Aim & scope
The journal "Artificial Intelligence in Precision Medicine" aims to foster advancements in healthcare by exploring the intersection of Artificial Intelligence (AI) and Precision Medicine. Our journal serves as a platform for researchers, practitioners, and industry experts to share and disseminate cutting-edge research and innovations in the field.
The primary aim of our journal is to promote the understanding, development, and application of AI approaches in precision medicine. We welcome high-quality research articles that demonstrate the potential of AI-driven approaches, including Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Computer Vision, Predictive Modeling, and Data Mining, to revolutionize healthcare practices.
The scope of our journal encompasses various topics, such as AI-powered diagnostic tools and predictive models in precision medicine, applications of AI in genomics and other omics approaches, AI-driven analysis of medical imaging data, treatment optimization and drug discovery using AI, ethical and regulatory considerations in AI-driven precision medicine, integration of AI and data analytics for large-scale precision medicine initiatives, and challenges and future directions in AI-driven precision medicine research and implementation.
Article types
The content coverage of "Artificial Intelligence in Precision Medicine" spans a wide range of topics at the intersection of AI and precision medicine. We invite original research articles, reviews, case studies, and perspectives that contribute to advancing our understanding of the applications, benefits, and limitations of AI in precision medicine. The journal covers, but is not limited to, the following areas:
• AI-powered diagnostic tools and predictive models in precision medicine.
• Applications of AI in genomics, transcriptomics, proteomics, and other omics approaches for personalized medicine.
• AI-driven analysis of medical imaging and pathology data for improved diagnostics.
• Use of AI algorithms for treatment optimization and drug discovery in precision medicine.
• Ethical considerations and regulatory aspects of AI in precision medicine.
• Integration of AI and data analytics to enable precision medicine initiatives on a large scale.
• Challenges and future directions in AI-driven precision medicine research and implementation.
Through comprehensive content coverage, our journal aims to facilitate the exchange of knowledge, foster collaboration, and drive advancements in the field of AI-driven precision medicine.
Peer review
- Double-Blind Peer Review System
- Open Peer Review (since Aug 2019), Show List of All Published Reviewers' Comments
Access & licensing
License policy
This open-access article is available under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) International License (https://creativecommons.org/licenses/by-nc/4.0/), which allows for the copying and redistribution of the material only for noncommercial purposes, provided that the original work is properly cited.
Publication charges
Free
Digital archiving
This journal deposits its articles in Portico to guarantee long-term digital preservation.
Indexing & metrics
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