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.