Artificial Intelligence-Based Clinical Decision Support Systems Using Advanced Medical Imaging and Radiomics

Area of Science:

• Medical Informatics
• Artificial Intelligence in Medicine
• Clinical Decision Support Systems

Background:

• Artificial intelligence (AI) is increasingly impacting healthcare delivery.
• Clinical decision support (CDS) systems leverage AI to assist clinicians.
• AI aids in processing large volumes of patient data for better decision-making.

Purpose of the Study:

• To review key concepts of AI in advanced imaging-based CDS.
• To highlight the role of AI in augmenting clinician capabilities.
• To explore AI's application in interpreting complex patient information.

Main Methods:

• Review of relevant artificial intelligence concepts.
• Focus on AI applications in medical imaging analysis (e.g., Radiomics).
• Integration of machine learning for data computation and disease understanding.

Main Results:

• AI significantly enhances the ability to collect and interpret patient data.
• Advanced imaging analysis and machine learning improve disease process understanding.
• AI-powered CDS systems offer potential for optimal clinical decision-making.

Conclusions:

• AI is a transformative technology for medical practice.
• AI-driven CDS, particularly with advanced imaging, promises to optimize patient care.
• Further integration of AI in healthcare is expected to advance medical decision-making.