Deep Learning Applications in Pancreatic Cancer.
Hardik PatelTheodoros P ZanosD Brock HewittPublished in: Cancers (2024)
Pancreatic cancer is one of the most lethal gastrointestinal malignancies. Despite advances in cross-sectional imaging, chemotherapy, radiation therapy, and surgical techniques, the 5-year overall survival is only 12%. With the advent and rapid adoption of AI across all industries, we present a review of applications of DL in the care of patients diagnosed with PC. A review of different DL techniques with applications across diagnosis, management, and monitoring is presented across the different pathological subtypes of pancreatic cancer. This systematic review highlights AI as an emerging technology in the care of patients with pancreatic cancer.
Keyphrases
- systematic review
- radiation therapy
- deep learning
- healthcare
- cross sectional
- artificial intelligence
- end stage renal disease
- palliative care
- newly diagnosed
- ejection fraction
- quality improvement
- chronic kidney disease
- high resolution
- locally advanced
- prognostic factors
- machine learning
- meta analyses
- pain management
- affordable care act
- squamous cell carcinoma
- mass spectrometry
- electronic health record
- chronic pain
- convolutional neural network
- free survival
- loop mediated isothermal amplification