Magnetic resonance imaging-based artificial intelligence model in rectal cancer

Area of Science:

• Oncology
• Radiology
• Artificial Intelligence

Background:

• Rectal magnetic resonance imaging (MRI) is the gold standard for rectal cancer diagnosis, providing detailed tumor assessment.
• Artificial intelligence (AI), particularly machine learning, is rapidly advancing in medical applications.
• The integration of AI with high-resolution MRI for rectal cancer is a growing area of research.

Purpose of the Study:

• To review the recent advancements in applying AI to rectal cancer diagnosis and management using MRI.
• To highlight AI's role in enhancing the capabilities of rectal MRI beyond traditional diagnostic functions.

Main Methods:

• Review of current research on AI models applied to high-resolution rectal MRI data.
• Analysis of AI applications in staging, radiotherapy localization, and treatment response prediction.

Main Results:

• AI models demonstrate increasing accuracy in rectal cancer diagnosis and staging using MRI.
• AI facilitates precise radiotherapy localization based on MRI findings.
• Emerging studies show AI's potential in predicting patient response to chemotherapy and overall prognosis.

Conclusions:

• AI, integrated with rectal MRI, offers significant potential to improve rectal cancer diagnosis and patient management.
• Future research should focus on validating AI models for clinical decision support in rectal cancer care.