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Artificial Intelligence in Health                                                           Editorial



              We welcome submissions from a range of topics,     As an open-access, peer-reviewed journal,  Artificial
            including but not limited to:                      Intelligence in Health  complements  other  conventional
            •   Detection and early diagnosis of diseases and   subscription journals in related areas such as ML, signal/
               improvement of medical diagnosis using AI methods   image processing, intelligent computing, medical images,
               and tools                                       brain-computer interface, human-computer interaction, and
            •   Utilization of ML methods to search medical data,   robotics. With the support and commitment of professional
               uncover hidden features/markers, and generate   and highly motivated Editorial Board Members, Authors,
                                                               Reviewers, and Production Assistants, Artificial Intelligence
               insights to help improve health outcomes and patient   in Health is expected to accomplish tremendous growth
               experiences
            •   Biomedical data  analysis (especially  EEG/MEG,   in terms of impact and set to advance health applications
                                                               revolving around AI, ML, and computational neuroscience.
               ECoG, fMRI, CT, PET, etc.)
            •   Accelerated drug discovery                       We strongly believe that  Artificial Intelligence in
            •   Management and analysis of health-care data    Health will play an influential role in the development
            •   Brain-computer interface (BCI) and their applications   and applications of AI approaches and technologies
               in clinical practice                            in health care and improving the quality of our life,
            •   Computer vision (CV) and virtual reality (VR) in   especially in more efficient and reliable intelligent
               medical applications                            systems, to extract, recognize, detect, classify, provide
            •   Intelligent robots in medicine and robotic surgery  support to reliable early diagnosis of various diseases
            •   Computational neuroscience and brain data analysis/  and uncover insights to help improve health outcomes
               modeling                                        and patient experiences.
            •   Emerging  technologies  and  innovative  ideas  in   Conflict of interest
               medical AI
            •   AI-based research and application of wearable devices.  No conflict of interest.














































            Volume 1 Issue 1 (2024)                         2                         https://doi.org/10.36922/aih.2463
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