International Journal of Artificial Intelligence in Healthcare
- Editor in Chief
- Prof. Dr. Dinesh P. Mital
- ISSN online
- 3050-2470
- ISSN print
- 3050-2462
- 4 issues per year
Artificial intelligence in healthcare holds immense potential to revolutionise patient care, improve outcomes and enhance medical processes. As the technology continues to evolve, we can expect even more innovative applications in the field. IJAIH provides an authoritative outlet that will shape a significant body of research in the area of AI applications in healthcare, medical engineering and informatics, allowing new developments to be shared across institutions, governments, organisations, researchers, students and industry.
Topics covered include
- Digital image-based disease diagnosis
- ANN, CNN and deep learning
- Neural language processing
- Robotic surgery
- Hospital information management
- Data protection/privacy
- Disease modelling and simulation
- Evidence-based clinical modelling, diagnosis and patient management
- Computer-based patient/disease management systems
- Clinical trial studies, outcome-based studies/analysis
- Nanotechnology in medicine, medical applications
- Tissue engineering, artificial organs, biomaterials design
- AI-based big data analysis, data mining and knowledge discovery
- Healthcare/hospital management and patient remote surveillance
- Drug design, simulation and testing
Objectives
The objectives of IJAIH are to develop, promote and establish effective channels of communication among academicians, researchers, health professionals, policy makers, government agencies and research institutions to coordinate innovative research, developments, practice and applications of computer technology in areas related to medical engineering. The journal aims to help professionals working in the field, academic educators and policymakers to contribute and disseminate knowledge and to learn from each other's work. The international dimension is emphasised to overcome cultural and national barriers, and to meet the needs of accelerating technological changes and exchanges in the global economy.
Readership
Articles published in IJAIH will be of interest to researchers, educators, physicians, surgeons, engineers, medical centre staff, scientists, hospital administrators and all personnel concerned with learning and research at the cutting-edge of technology-based approaches to AI-based technology in healthcare. In general, the journal’s readership will include those working in the fields of the medical life sciences, healthcare services, knowledge discovery, robotic assisted surgery, automated image bases analysis, big data analytics, data mining and knowledge discovery, drug discovery, virtual nursing assistants, cyber security, managing healthcare data and personalised/remote medicine.
Contents
IJAIH publishes original research papers, review papers, technical reports, case studies, conference reports, management reports, book reviews, notes, commentaries and news. Special issues devoted to important topics pertaining to medical engineering, clinical research, medical informatics, disease modelling, biomedical technology, human genome research, bioengineering, digital image and pattern analysis, medical technology, natural language processing, organ modelling and simulation, data mining and knowledge engineering will occasionally be published. Contributions may be via general submission or invitation, and suggestions for special issues and publications are welcome. An ideal paper will combine theory with experiments, and articles published will include theoretical modelling papers, articles exploring machine learning-based modelling, and experimental clinical papers concerning analysis and decision support. IJAIH also welcomes the submission of rapid communications, offering researchers an opportunity to pose problems and suggest innovative pathways to the medical and informatics community, and to comment on topical issues and current research.
Editor in Chief
- Mital, Dinesh P., Rutgers University, USA
(dineshpmitalgmail.com)
Editorial Board Members
- Agarwal, Jai P., Purdue University, USA
- Bhatia, Dinesh, North Eastern Hill University, India
- Borgulya, Gábor, Hungarian Academy of Sciences, Hungary
- Jiang, Bian, University of Florida, USA
- Kavitha, A., SSN College of Engineering, India
- Kaya, Yasin, Karadeniz Technical University, Turkey
- Mittal, Rahul, University of Exeter, UK
- Nayyar, Anand, Duy Tan University, Vietnam
- Patel, Jay, Temple University, USA
- Rodgers, Carolyn, Chicago State University, USA
- Sitapati, Amy, University of California San Diego, USA
- Srinivasan, Shankar, Rutgers University, USA
- Williams, Hants, Stony Brook University, USA
- Zhou, Leming, University of Pittsburgh, USA
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
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