Frontiers in Oncology · 2024 · 23 citations · 37 references
MedicineOncologySurgeryArtificial IntelligenceMachine LearningSurgical OncologyAugmented Reality In MedicineComputer-aided DiagnosisDeep LearningPancreatic CancerPancreatic SurgerySurgical VisualizationArtificial Intelligence For DetectionArtificial Intelligence-based ScreeningAugmented Reality NavigationPancreatic Cancer DetectionPancreatic Cancer ResectionPrognostic PredictionPrognostic Prediction ModelsVisualization Systems
Pancreatic cancer, an exceptionally malignant tumor of the digestive system, presents a challenge due to its lack of typical early symptoms and highly invasive nature. The majority of pancreatic cancer patients are diagnosed when curative surgical resection is no longer possible, resulting in a poor overall prognosis. In recent years, the rapid progress of Artificial intelligence (AI) in the medical field has led to the extensive utilization of machine learning and deep learning as the prevailing approaches. Various models based on AI technology have been employed in the early screening, diagnosis, treatment, and prognostic prediction of pancreatic cancer patients. Furthermore, the development and application of three-dimensional visualization and augmented reality navigation techniques have also found their way into pancreatic cancer surgery. This article provides a concise summary of the current state of AI technology in pancreatic cancer and offers a promising outlook for its future applications.
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Rebecca L. Siegel, Kimberly D. Miller, Hannah E. Fuchs et al. · CA A Cancer Journal for Clinicians · 2021 · 17.4K citations · Full text
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao et al. · IEEE Transactions on Medical Imaging · 2016 · 5.8K citations · Full text