Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry

Area of Science:

• Medical Imaging
• Artificial Intelligence
• Oncology

Background:

• Gastric cancer is a major global health issue requiring improved diagnostic and treatment strategies.
• Advancements in imaging are crucial for accurate diagnosis and effective treatment planning in gastric cancer care.

Purpose of the Study:

• To provide a comprehensive review of Artificial Intelligence (AI) applications in gastric cancer imaging.
• To explore AI's role in diagnosis, staging, body morphometry after gastrectomy, and prognosis.
• To discuss the current limitations and future potential of AI in gastric cancer imaging.

Main Methods:

• Review of recent developments and applications of AI in gastric cancer imaging.
• Investigation of AI's role in diagnostic imaging and body morphometry.
• Examination of AI techniques for patient prognosis.

Main Results:

• AI demonstrates potential in enhancing accuracy and efficiency for gastric cancer diagnosis and staging.
• AI body morphometry shows promise for assessing the clinical impact of gastrectomy and optimizing postoperative care.
• AI prognostic models can predict long-term survival outcomes, aiding clinical decision-making.

Conclusions:

• AI is a potent tool for gastric cancer imaging, offering significant advancements in diagnosis, staging, and prognosis.
• Further development and integration of AI technologies are needed to overcome current limitations and improve clinical practice.
• The translation of AI into routine clinical practice holds the potential to significantly improve patient care and outcomes for gastric cancer.