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: closed (31 July 2024) | Viewed by 3107
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
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Keywords
- augmented medicine
- AI-powered medical technologies
- digital medicine
- clinical practice
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