Artificial Intelligence for Healthcare: Technologies, Applications, and Impact
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 29
Special Issue Editors
Interests: robotics; intelligent control; intelligent learning under the paradigm of intelligent agents; robotics; biomedical and bioinformatics; emotional intelligence; affective computing; internet of things; virtual reality; internet of things (IoT); internet of medical things (IoMT); neuropsychology; neurodevelopment and the origins of brain disorders; education with artificial intelligence and internet of things (EIA-IoT); big data; machine learning; quirentum machine learning; natural Language processing; wearable healthcare
2. ALGORITMI Research Centre of Minho University, Guimarães, Portugal
Interests: pervasive systems; intelligent systems; information science; computer theory; knowledge management; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is revolutionizing healthcare by enabling more personalized, predictive, and contextualized solutions—both in hospitals and at home. This Special Issue focuses on the application of innovative, advanced technologies such as intelligent agents, big data, data mining, quantum machine learning, wearable devices, and the Internet of Medical Things in the management of neurodevelopmental diseases (including autism, Asperger's syndrome, and Down syndrome), as well as in pediatric and geriatric oncology, cardiac and respiratory diseases, diabetes, hearing and vision impairments, and smart prosthetics, among others).
The Issue not only explores traditional AI but also visualizes the role of generative artificial intelligence (GAI) and natural language processing (NPL) in virtual assistants and chatbots. These technologies aim to provide a more social and accessible form of emotional AI to facilitate empathetic follow-up and support. Additionally, the Issue addresses potential ethical concerns, including the explainability of models, data privacy, and fairness in AI technologies, etc. Therefore, we invite the medical and scientific community to contribute to this Special Issue to help build a smarter, more humane, and inclusive healthcare system.
Dr. Arnulfo Alanis
Dr. Teresa Guarda
Guest Editors
Manuscript Submission Information
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Keywords
- data mining
- quantum machine learning
- wearable devices
- internet of medical things
- natural language processing
- generative artificial intelligence
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