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Artificial Intelligence-Enabled Gastric Cancer Interpretations: Are We There yet?
Mustafa Yousif1, Liron Pantanowitz2
1Department of Pathology, University of Michigan, NCRC Building 35, 2800 Plymouth Road, Ann Arbor, MI 48109, USA.
Surgical Pathology Clinics
|October 20, 2023
Summary
Artificial intelligence (AI) enhances digital pathology for gastric cancer. AI tools improve diagnostics, detect metastases, automate scoring, and quantify tumor-infiltrating lymphocytes, aiding pathologists in diagnosis and discovery.
Area of Science:
- Digital pathology
- Artificial intelligence (AI)
- Oncology
- Gastrointestinal pathology
Background:
- Digital pathology and AI integration offers new tools for pathology.
- AI excels at pattern recognition beyond human perception.
- AI provides prognostic and predictive information.
Purpose of the Study:
- To provide an overview of AI applications in gastric cancer pathology.
- To highlight AI's role in improving diagnostic accuracy and workflow.
- To showcase AI's potential for novel discoveries in gastric cancer research.
Main Methods:
- Review of current AI applications in gastric cancer diagnosis.
- Analysis of AI tools for image analysis in digital pathology.
- Focus on AI's capabilities in pattern recognition and quantification.
Main Results:
- AI tools are used to diagnose gastric carcinoma from digital images.
- AI assists in detecting gastric cancer metastases in lymph nodes.
- AI automates Ki-67 scoring and quantifies tumor-infiltrating lymphocytes.
Conclusions:
- AI significantly enhances digital pathology for gastric cancer.
- AI applications improve diagnostic accuracy, workflow, and prognostic capabilities.
- AI facilitates new discoveries in gastric cancer research and treatment.
Keywords:
Artificial intelligenceCancer diagnosisComputational pathologyDeep learningDigital pathologyGastric cancerMachine learningWhole slide imaging
