Technological Advancements and Cutting-Edge Innovations for Smart and Sustainable Healthcare
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 1236
Special Issue Editors
Interests: machine learning; deep learning; radiomics; healthcare; oncology
Interests: urology; endourology; urooncology; robotic surgery
2. Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
Interests: materials; polymer composites; nanocomposites; nanomaterials; bio-based composites;3D printing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomedical informatics relies on the development of innovative methods and procedures that can be used in various settings. Investigations in both basic and applied engineering are aimed at enhancing the delivery of healthcare services. Researchers, engineers and consultants in healthcare engineering from around the world can share cutting-edge knowledge, new technology and innovative ideas. We welcome submissions that address real-world clinical problems, develop a novel approach to solving it, and assess the appropriateness of the approach in relation to current state-of-the-art (SoA) methodologies. For healthcare professionals, participation in the motivation and evaluation of results is expected.
Topics of interest include (but are not limited to) clinical decision support, patient safety, artificial intelligence and machine learning, knowledge representation for healthcare, and clinical informatics. Papers discussing wearables, healthcare innovations, statistics and quality of medical data, security and privacy will also be considered. Submissions must focus on novel informatics methods and their comparison to the current approaches.
Dr. Rahul Paul
Prof. Dr. BM Zeeshan Hameed
Dr. Nithesh Naik
Dr. Yashbir Singh
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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. Electronics 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 2400 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
- biomedical engineering (devices, equipment, procedures, and software)
- intelligent medical devices and sensors
- healthcare software architecture, framework, design, and engineering
- healthcare decision analytics and support systems
- artificial intelligence, machine learning and deep learning
- informatics and telematics
- medical monitoring devices and wearable health technology
- healthcare facilities and infrastructure
- improvement of healthcare delivery systems
- healthcare innovations
- security and privacy in healthcare
- statistics and quality of medical data
- health systems modeling and simulation
- computer-aided diagnosis
