Artificial Intelligence and Its clinical Relevance in Gastrointestinal Malignancies: A Comprehensive Study on Rectal, Pancreatic, and Liver Cancer imaging Data.

This study uses artificial intelligence (AI) to improve the treatment of rectal, pancreatic, and liver cancers. By analyzing medical images like CT scans, MRIs, PET scansanddigitis****ed pathologyslide****s AI can help doctors understand how tumors are responding to treatment and predict future outcomes. This approach aims to make cancer treatment more personalized, allowing doctors to choose the most effective treatment plan for each patient.

Currently, predicting how well a patient will respond to cancer treatments is difficult, as there are no reliable tests for this. This study will create AI tools that can predict which patients will respond well to treatment, which might need a different approach, and how long they are likely to survive or stay cancer-free. The study will analyze medical images from all TMC hospital to develop these tools and improve decision-making in cancer care.

We (TMH) will be providing imaging data of pancreatic , hepatic and rectal malignancies to Dr Satish Viswanath Associate Professor, Emory University, Atlanta,. Emory University will run specialised software for radiomic feature extraction . We will use these radiomic feature for clinical correlation .

The main goal of this study is to use AI to provide more accurate predictions and help doctors make better treatment decisions. By training AI to predict treatment responses, survival chances, and the effectiveness of different therapies, the researchers hope to improve cancer outcomes. This personalized approach could lead to better survival rates, fewer unnecessary treatments, and an overall improvement in the quality of care for cancer patients.