Smart Healthcare 4.0: AI, Quantum Computing, and Real-Time Biomedical Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 736
Special Issue Editors
Interests: intelligent analysis and control in industrial processes; bio-signal processing; anesthesia monitoring and control; pain model and control; medical automation
Special Issues, Collections and Topics in MDPI journals
Interests: pediatric anesthesia and pain management; airway management; anesthesia for liver transplantation; anesthetic automatic control
Interests: computational intelligence emphasizing on fuzzy systems; deep learning; evolutionary algorithms; hybrid machine learning techniques; ambient intelligence; pervasive computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The assimilation of quantum computing, artificial intelligence (AI), and edge computing into healthcare 4.0 will transform real-time biomedical monitoring, diagnostics, and clinical decision-making. Conventional healthcare systems face challenges in processing vast physiological datasets, handling non-stationary biosignals, and ensuring real-time responsiveness in critical applications such as neurophysiological monitoring, cardiovascular diagnostics, and anesthesia depth estimation. Quantum-accelerated AI frameworks offer a paradigm shift by enhancing biomedical signal processing, feature extraction, and classification through quantum variational circuits, hybrid quantum-classical models, and quantum-enhanced deep learning.
This Special Issue invites pioneering research on quantum-driven AI methodologies for real-time biomedical monitoring, covering areas such as quantum-assisted physiological sensor (EEG and ECG, etc.) analytics, variational quantum circuits for biosignal denoising, quantum-enhanced Fourier transforms for spectral decomposition and quantum Boltzmann machines for disease classification. Additionally, the role of IoT-enabled intelligent sensors, federated learning, fog computing, and edge AI will be explored to develop autonomous, self-adaptive, and energy-efficient healthcare monitoring solutions. By harnessing quantum speedup and AI-driven predictive analytics, this research aims to establish precision-driven, real-time, and adaptive biomedical monitoring systems, revolutionizing healthcare delivery in the era of Smart Healthcare 4.0. The scope of this Special Issue includes, but is not limited to, the following topics:
- Monitoring physiological and pathological signals;
- Personalized healthcare of wearable sensing systems;
- Gerontechnologies for assistive support systems;
- Telemedicine and disease monitoring;
- Biomedical adaptative control systems;
- Edge computing and distributed AI powered medical systems;
- Large scale data processing for health informatics.
Prof. Dr. Jiann-Shing Shieh
Dr. Shou-Zen Fan
Dr. Faiyaz Doctor
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence in healthcare
- quantum computing in medicine
- real-time biomedical monitoring
- ai-driven diagnosis and therapy
- precision medicine technologies
- biomedical signal processing
- healthcare data analytics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
