Advances in AI-Powered Medical Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 565
Special Issue Editor
Interests: 3D model; augmented reality computer graphics computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Clinical practice is currently confronted with the possibility of adopting new technological tools that can drastically improve the effectiveness of health professionals in providing early diagnoses, and minimally invasive, patient-specific treatment options, as well as adding novel remote collaboration possibilities, or powerful educational potential.
Along with the widespread explosion of neural network applications, the ease of access to all kinds of sensors has drastically increased the amount of data that can be processed. Many new devices, relatively small in physical dimensions, are now capable of running AI-powered applications. All of this leads to the emergence of a vast field of studies that integrates medicine with different computer sciences and enabling technologies such as machine learning, neural networks, computer vision, robotics, sensors, mixed and augmented reality.
By focusing on different aspects of the clinical practice, ranging from surgical navigation systems to pre-operatory collaborative planning tools, from post-operatory pain management systems to diagnostic tools to analyze medical imagery, new systems are currently being investigated and implemented.
The aim of this Special Issue is to advance the scholarly understanding of how AI-powered medical applications can be used to further clinical practice, and specifically the 4P healthcare paradigm that requires it to be predictive, preventive, personalized, participatory.
In particular, the topics of interest for this Special Issue include but, are not limited to, the following:
- New technological solutions for new AI-based applications in augmented medicine.
- Virtual and/or augmented reality solutions for minimally invasive surgery.
- Novel validation strategies for AI-based solutions in medicine.
- Patient’s personal data protection strategies.
- Ongoing education for medics in digital medicine strategies.
- Smart surgery rooms.
- Wearable system for collaborative diagnosis.
- Digital twins.
Dr. Pietro Piazzolla
Guest Editor
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. Applied Sciences 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
- augmented medicine
- AI-powered medical technologies
- digital medicine
- clinical practice
