Artificial Intelligence Applications in Medicine and Public Health
We are pleased to announce a call for articles for an upcoming special issue focused on "Artificial Intelligence Applications in Medicine and Public Health." This issue aims to showcase cutting-edge research and innovative applications of AI that are transforming healthcare delivery, disease prediction, public health monitoring, and medical diagnostics.
Themes and Topics of Interest Include, but are not Limited to:
- AI in Diagnostic Processes:
- Enhancements in imaging technology
- Predictive analytics for disease detection
- AI integration into clinical decision-making tools
- Personalized medicine approaches
- Optimization of treatment plans through AI algorithms
- AI-driven drug discovery and development
- AI in epidemic outbreak prediction and management
- Real-time data analysis for public health decision-making
- Social media and mobile data utilization for public health insights
- Addressing biases in AI algorithms
- Privacy concerns and data security
- Regulatory challenges and solutions
- Robotics in surgery and care delivery
- AI applications in elderly care and rehabilitation
- Wearable technology and IoT in health monitoring
Submission Guidelines:
- Article Types: We invite submissions of original research, review articles, case studies, and brief reports that significantly contribute to the fields of AI, medicine, and public health.
- Abstract Submission: Please submit an abstract of no more than 250 words by [30 June 2024].
- Full Article Submission: Complete manuscripts should be submitted by [15 July 2024].
- Submission Portal: Articles must be submitted through our online portal. Detailed submission and formatting guidelines are available at the journal website Author Guidelines | The Evidence (evidencejournals.com)
- Peer Review: Submissions will be peer-reviewed to ensure the publication of high-quality, impactful research.
This special issue will highlight the revolutionary potential of artificial intelligence in reshaping the landscape of healthcare and public health. We look forward to your innovative contributions that will drive forward the capabilities of AI in improving health outcomes worldwide.