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AI in early gastric cancer detection to reduce mortality and economic burden.
Gastric cancer is one of the leading causes of cancer-related deaths worldwide.
Over 1 million people are diagnosed each year, with a high mortality rate due to late-stage diagnoses.
Early detection is critical to improving patient outcomes, yet many cases are diagnosed at advanced stages, limiting treatment options and survival rates [1].
Artificial intelligence (AI) can revolutionize early gastric cancer detection by analyzing medical images and clinical data.
AI models, trained on vast datasets including endoscopic images and biopsies, can identify patterns and features that may be overlooked by doctors.
AI can provide real-time advice, helping doctors make better-informed decisions based on current clinical guidelines and evidence [3].
This technology can enhance diagnostic accuracy, reduce human errors, and speed up detection.
GastricHealthAI uses a clinical guideline from the National Comprehensive Cancer Network (NCCN). This guideline provide evidence-based recommendations that inform the attendee's risk assessments and diagnostic suggestions.
Gastric cancer is one of the leading causes of cancer-related deaths worldwide.
Over 1 million people are diagnosed each year, with a high mortality rate due to late-stage diagnoses.
Early detection is critical to improving patient outcomes, yet many cases are diagnosed at advanced stages, limiting treatment options and survival rates [1].
Artificial intelligence (AI) can revolutionize early gastric cancer detection by analyzing medical images and clinical data.
AI models, trained on vast datasets including endoscopic images and biopsies, can identify patterns and features that may be overlooked by doctors.
AI can provide real-time advice, helping doctors make better-informed decisions based on current clinical guidelines and evidence [3].
This technology can enhance diagnostic accuracy, reduce human errors, and speed up detection.
The opportunity cost of not implementing AI tools in early gastric cancer detection is significant.
In Colombia, the indirect costs associated with treating advanced gastric cancer, including hospitalizations, chemotherapy, and palliative care, exceed $4 billion annually [2].
Early, more accurate detection could prevent costs related to advanced-stage treatment and improve patient quality of life.
The implementation of AI in early gastric cancer detection could transform public health, improving survival rates and reducing the economic burden of treatment. Predictive models and real-time advice for doctors are expected to reduce mortality by up to 20% and enhance diagnostic efficiency [3]. Furthermore, the adoption of these technologies in developing countries could reduce healthcare disparities, providing more equitable and effective care.
GastricHealthAI uses a clinical guideline from the National Comprehensive Cancer Network (NCCN). This guideline provide evidence-based recommendations that inform the attendee's risk assessments and diagnostic suggestions.
