Artificial Intelligence in Medicine
A section of Healthcare (ISSN 2227-9032).
Section Information
Artificial intelligence comprises computer and information technologies that simulate human and biological intelligence or natural phenomena in solving problems. Artificial intelligence technologies are extensively applied in the medical field, such as in disease diagnosis, classification and prediction, health monitoring, clinical decision support, medical data analysis, hospital scheduling, and 3D printing. Such applications have considerably enhanced the accuracy and cost-effectiveness of medical and health care services. This Section intends to provide technical details of the development of artificial intelligence methods and the corresponding applications to medical and health care fields.
Keywords:
- 3D printing
- Ant colony optimization
- Artificial bee colony
- Artificial neural network
- Bacterial colony foraging
- Deep learning
- Fuzzy logic
- Grey wolf optimization
- Medical robots
- Natural language processing
- Social intelligence
- Software agents
- Spider monkey optimization
- Swam intelligence
- Virtual and augmented reality
with applications in
- Clinical decision support
- Disease diagnosis, classification, and prediction
- Health monitoring
- Healthcare service recommendation
- Hospital scheduling
- Medical data analysis
- Medical image analysis
- Medical innovations
- Smart hospital
- Telehealth, telemedicine
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Clinical Robotics (Deadline: 31 March 2021)
- The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We? (Deadline: 15 April 2021)
- Smart Home Care (Deadline: 21 May 2021)
- Method and Tools to Design Innovative Solutions for Physical Medicine and Rehabilitation (Deadline: 30 June 2021)
- Digital Transformation in Healthcare (Deadline: 31 July 2021)
- Rehabilitation and Robotics: Are They Working Well Together? (Deadline: 30 September 2021)
- Artificial Intelligence (AI) and Machine Learning (ML) in Human Health and Healthcare (Deadline: 31 December 2021)