Evolving and Novel Applications of Artificial Intelligence in Abdominal Imaging

Area of Science:

• Radiology
• Medical Imaging
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is revolutionizing abdominal radiology.
• AI improves diagnostic accuracy and disease management in abdominal imaging.

Purpose of the Study:

• To review the current applications of AI in abdominal imaging.
• To highlight AI's role in diagnosing and characterizing various abdominal pathologies.
• To discuss AI's impact on workflow optimization and quantitative imaging.

Main Methods:

• Narrative review of recent literature on AI in abdominal radiology.
• Exploration of AI applications for hepatobiliary, pancreatic, gastric, colonic, renal, adrenal, and splenic disorders.
• Highlighting quantitative imaging techniques like radiomics and deep learning.

Main Results:

• AI demonstrates significant improvements in diagnosing and characterizing abdominal pathologies.
• AI aids in differentiating various organ-specific disorders and evaluating body composition.
• AI-driven quantitative imaging enhances precision in tumor description and tissue property measurement.

Conclusions:

• AI advancements are increasing clinical effectiveness and productivity in abdominal radiology.
• Despite progress, technical, ethical, and legal challenges remain.
• Future development opportunities exist for AI in abdominal imaging.