Artificial Intelligence (AI) in Healthcare: Technologies, Applications, Challenges
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 59
Special Issue Editors
Interests: natural language processing; computational linguistics; web of linked data; content analysis; social media and health information; applied and computational statistics; integrated health informatics system; assisted decision systems; research ethics
Special Issues, Collections and Topics in MDPI journals
Interests: spinal cord injury and regeneration; analysis of the speech of suicidal individuals; temporality in health records; information extraction from epilepsy clinic notes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In an era where artificial intelligence (AI) is rapidly transforming various sectors, healthcare stands out as a field with immense potential for innovation and improvement. This Special Issue invites original contributions—algorithmic, methodological, empirical, or theoretical—that advance the broader context of health informatics. We aim to bring together practitioners, researchers, and scholars to share insights, examples, use cases, theories, and analyses related to biomedical data.
Submissions are encouraged to explore various dimensions of AI in healthcare, including but not limited to the theory, design, development, evaluation, or deployment of AI technologies. The primary goal of this Special Issue is to establish a respected, international forum for scientific research, emphasizing key areas such as interactive health technologies, advanced analytics, and the security and privacy of healthcare data.
Dr. Daniela Gîfu
Dr. Kevin Bretonnel Cohen
Guest Editors
Manuscript Submission Information
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Keywords
- interactive health technologies
- natural language processing and text mining in healthcare
- biomedical data analytics
- big data in healthcare
- visual analytics and decision-support systems
- security and privacy in healthcare data
- evaluation and validation of AI methods
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