About this Research Topic
The integration of AI in oncology is revolutionizing cancer diagnosis, treatment planning, and patient management, offering unprecedented precision and efficiency. This Research Topic aims to showcase cutting-edge research and practical applications of AI in gastrointestinal cancer, highlighting the potential of these technologies to transform cancer care. We welcome researchers, clinicians, and industry experts to contribute Original Research as well as Review articles on the topics including but not limited to the following:
• AI in Gastrointestinal Cancer Diagnosis: Innovative machine learning algorithms and deep learning models that enhance the accuracy and speed of cancer detection through imaging techniques, pathology, and genomic data analysis. This includes the development of AI tools that can identify early-stage tumours, differentiate between cancer subtypes, and predict disease progression.
• Predictive Analytics for Treatment Outcomes of Gastrointestinal Cancer: The use of AI to predict patient responses to various treatments, enabling personalized medicine approaches that improve efficacy and reduce adverse effects. AI-driven models can analyze patient data to forecast the effectiveness of chemotherapy, immunotherapy, and targeted therapies, leading to more tailored treatment plans.
• AI-Driven Drug Discovery for Gastrointestinal Cancer: How AI is accelerating the discovery and development of new anticancer drugs, identifying potential therapeutic targets, and optimizing drug design and testing processes. AI can sift through vast amounts of biomedical data to uncover novel compounds, predict their interactions with cancer cells, and streamline preclinical testing.
• Radiomics and AI application in Gastrointestinal Cancer: The application of AI in radiomics to extract quantitative features from medical images, improving radiotherapy planning and outcomes. AI algorithms can enhance image segmentation, dose calculation, and treatment response assessment, making radiotherapy more precise and effective.
• AI in Patient Management for Gastrointestinal Cancer: Tools and platforms that leverage AI to monitor patient progress, manage treatment schedules, and provide real-time decision support to healthcare professionals. These applications can improve patient adherence to treatment plans, detect complications early, and facilitate communication between patients and healthcare providers.
Keywords: artificial intelligence, gastrointestinal cancer, deep learning, machine learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.