Machine Learning and IoT in Medical Practice: Research Applications and Population-Level Solutions
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 4235
Special Issue Editors
2. Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, 81100 Mytilene, Greece
Interests: general surgery; IoT; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: 3D modeling; 3D visualization; digital culture; face recognition; mixed reality; multimedia
Special Issues, Collections and Topics in MDPI journals
Interests: colorectal surgery; general surgery; endocrine surgery; colorectal cancer; breast cancer; biomarkers in surgery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern approaches to healthcare research and patient care have come to demand the seamless handling of large data quantities. In this aspect, artificial intelligence approaches are growing in popularity as a means of big data utilization for the construction of neural networks with decision-making capabilities. Such approaches can currently be found in every corner of medicine; from classification and correspondence tasks in research to automated patient monitoring, and AI-assisted surgical devices to the creation of robust predictive models that allow the personalization of medical care. Correspondingly, the IoT concept is gaining an increasingly strong foothold in the world of medicine; interconnected biosensors, tele-monitoring systems, and cloud computing are all everyday parts of medical practice.
The scope of this Special Issue is to present current applications and future implications of machine learning and the IoT concept in all aspects of medicine. Beginning from current applications in basic and translational research (e.g., machine learning in genomics) to drug development, pathologic diagnostics, and diagnostic applications in medical imaging to population-level modeling. Original works describing novel applications, feasibility studies as well as review articles are solicited for the purposes of this Special Issue. Topics of interest include, but are not limited to:
- AI and neural networks in basic and genomic research;
- Machine learning algorithms in cancer diagnosis;
- AI-assisted image diagnostics;
- Decision-making algorithms in multimodal patient care;
- IoT in patient monitoring;
- Surgical applications of machine learning networks;
- Unsupervised learning models in medical practice;
- Mixed reality (MR)-assisted surgery.
Dr. Francesk Mulita
Prof. Dr. Christos-Nikolaos Anagnostopoulos
Dr. Georgios Ioannis Verras
Guest Editors
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Keywords
- artificial intelligence
- deep learning
- IoT
- medicine
- research
- patient care
- bioinformatics
- mixed reality
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