Enhancing clinical decision-making through AI-assisted agents

Overview

Artificial Intelligence (AI) has shown tremendous potential in revolutionizing healthcare delivery. This research focuses on developing AI agents that can augment clinical decision-making processes, ultimately improving patient outcomes. The project aims to explore and design novel AI architectures that integrate disparate medical data sources, providing context-aware recommendations for diagnosis, treatment planning, and care coordination. Despite the promising applications of AI in healthcare, significant challenges remain in integrating these technologies into clinical practice effectively and safely.

Research activities

• Development and evaluation of AI models for clinical decision support.
• Analysis of large-scale electronic health records (EHR) data.
• Machine learning and deep learning techniques.
• Clinical validation studies.
• Ethical considerations in AI-assisted healthcare.
• Collaboration with clinicians and healthcare providers.

Outcomes

The key outcomes of the project will be to:

• develop and validate AI models for specific clinical decision-making tasks
• assess the impact of AI agents on patient outcomes in controlled settings
• propose guidelines for the ethical and effective integration of AI in clinical practice.

Skills and experience

Experience in data science and programming using Python or R.

Keywords

• artificial intelligence
• clinical decision support
• electronic health records
• machine learning

Contact

Contact the supervisor for more information.