Shortcuts
1. Aims and Scope
2. Publishing Model
3. Copyright and License to Publish
4. Editorial Board
5. Editorial Policies
6. Peer Review
7. Publication Ethics Statement
8. Journal Information and Statistics
9. Indexing & Archiving
10. Contact
1. Aims & Scope
Artificial Intelligence in Health is an online open-access, multidisciplinary journal dedicated to publishing high-quality peer-reviewed research in all areas of Artificial Intelligence in health and medicine science. By publishing high-quality research papers, reviews, and case studies, the journal seeks to contribute to the scientific community's understanding of the potential, challenges, and impact of AI and its applications on health delivery, patient outcomes, and population health.
Topics covered include, but are not limited to:
- AI-based medical diagnosis and prognosis covers research on the development and application of AI techniques, such as machine learning, deep learning, and natural language processing, for accurate medical diagnosis and prognosis. It includes studies on Bio's multi-omics analysis, image analysis, pattern recognition, clinical data mining, and predictive modeling to aid in the identification, classification, and prediction of diseases.
- AI clinical decision support systems encompasses research on the design, development, and evaluation of AI-driven clinical decision support systems. Topics include algorithms for treatment recommendation, patient risk stratification, personalized medicine, and decision-making tools that integrate patient data, clinical guidelines, and evidence-based knowledge.
- AI-driven drug discovery and development focuses on AI techniques applied to accelerate drug discovery, including virtual screening, molecular modeling, and predictive analytics. It also covers the use of AI in drug repurposing, toxicity prediction, and pharmacovigilance to enhance the efficiency and safety of pharmaceutical development processes.
- AI-enabled healthcare operations and management, and the research and application in telemedicine involves research on the utilization of AI to optimize healthcare operations, resource allocation, and workflow management. Topics include patient flow optimization, bed management, resource allocation for healthcare facilities, scheduling and routing algorithms, and predictive analytics for resource demand forecasting.
- AI-assisted electronic health records and clinical informatics encompasses research on AI techniques applied to improve the quality, interoperability, and usability of electronic health records (EHRs). This topic includes studies on data integration, natural language processing for EHR analysis, clinical decision support embedded within EHR systems, and privacy and security considerations in AI-driven healthcare informatics.
- AI-based research and application of wearable devices for diagnosis and treatment revolves around the development of equipment with intelligent medical symptom detection, intelligent diagnosis and treatment with the aid of AI technology, as well as the development of applications such as remote health management, remote room inspection, remote examination, intelligent examination and diagnosis.
- Social implications of AI in health addresses the social implications associated with the integration of AI in healthcare. Topics include privacy, data security, algorithmic bias, explainability and interpretability of AI models, regulatory considerations, and frameworks for AI-driven healthcare decision-making.
2. Publishing Model
Gold open access. All articles published by AIH are made freely and permanently accessible online immediately from the date of publication. For further information, please refer to Open Access.
3. Copyright and License to Publish
Articles in AIH are published under a Creative Commons Attribution 4.0 International (CC BY 4.0). The CC BY 4.0 allows for maximum dissemination and re-use of open access materials and is preferred by many research funding bodies. Under this license users are free to share (copy, distribute and transmit) and remix (adapt) the contribution for any purposes, even commercially, provided that the users appropriately acknowledge the original authors and the source.
Copyright is retained by authors. Authors are required to sign a License to Publish (which can be downloaded from the journal's Author Instructions), granting AIH, which identifies itself as the original publisher, exclusive rights to publish their articles, and granting any third party the right to use the articles freely as long as the integrity is maintained and the original authors, citation details and publisher are identified.
4. Editorial Board
For more information about the editorial team, please refer to Editorial Board.
5. Editorial Policies
All manuscripts submitted to AIH should adhere to AccScience Publishing's Editorial Policies.
6. Peer Review
The journal adheres to rigorous peer review and undergoes double-blind peer review. For more details, please refer to Editorial Process.
7. Publication Ethics Statement
AIH fully adheres to the Code of Conduct and the Best Practice Guidelines of Committee on Publication Ethics (COPE).
The Editors of this journal enforce a rigorous peer-review process together with strict ethical policies and standards to guarantee to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, image manipulation, inappropriate authorship credit, and the like, do arise. The Editors of AIH take such publishing ethics issues very seriously and are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use CrossCheck (powered by iThenticate) to check submissions against previous publications.
8. Journal Information and Statistics
ISSN: 3029-2387 (Online)
Digital archive: Portico
Frequency: Quarterly
DOI: 10.36922/aih
9. Indexing & Archiving
All articles published in AIH are included in:
10. Contact
Please visit the page of Editorial Office for details about different queries.