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:
- Artificial Intelligence in the Management of the Pandemic (Deadline: 31 May 2022)
- Artificial Intelligence in Intensive Care and Emergency Medicine (Deadline: 31 August 2022)
- Artificial Intelligence Applications in Medicine (Deadline: 23 September 2022)
- Advances of Decision-Making Medical System in Healthcare (Deadline: 30 September 2022)
- Computing and Artificial Intelligence Techniques for Healthcare Applications 2.0 (Deadline: 31 December 2022)
- Artificial Intelligence (AI) and Machine Learning (ML) in Medical Imaging Informatics towards Diagnostic Decision Making (Deadline: 31 December 2022)
- Deep Learning in Ultrasound Imaging for Healthcare (Deadline: 31 December 2022)
- Smart Technology Applications for Supporting Medicine and Healthcare after the COVID-19 Pandemic (Deadline: 31 January 2023)
- Virtual Reality and Robotics Interventions for Neurological Diseases (Deadline: 31 January 2023)
- Infrared Technological Innovations and Applications (Deadline: 1 February 2023)
- Health Care and Investigation in Ophthalmology Using Artificial Intelligence (Deadline: 31 March 2023)
- Clinical Application of Robotic Surgery (Deadline: 31 March 2023)