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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Cancer

Last data update: Mar 30, 2023. (Total: 59025 Documents since 2012)
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Records 1 - 26 (of 26 Records)

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Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects-a narrative review.
Maanya Rajasree Katta et al. Journal of cancer research and clinical oncology 2023
Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients.
Abdella M Ahmed et al. Biomedical physics & engineering express 2023
Derivation and External Validation of Machine Learning-based Model for Detection of Pancreatic Cancer.
Chen Wansu et al. The American journal of gastroenterology 2022
The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Cancer: A SEER-Based Study.
Lin Jiaxi et al. Cancers 2022 14(19)
Artificial intelligence for the detection of pancreatic lesions.
Anta Julia Arribas et al. International journal of computer assisted radiology and surgery 2022
Application of artificial intelligence to pancreatic adenocarcinoma.
Chen Xi et al. Frontiers in oncology 2022 12960056
Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study.
Yao Jiawen et al. Annals of surgery 2022
Risk Assessment of Liver Metastasis in Pancreatic Cancer Patients Using Multiple Models Based on Machine Learning: A Large Population-Based Study.
Li Qinggang et al. Disease markers 2022 20221586074
A deep learning-based segmentation system for rapid onsite cytologic pathology evaluation of pancreatic masses: A retrospective, multicenter, diagnostic study.
Zhang Song et al. EBioMedicine 2022 80104022
Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.
Chen Wansu et al. Journal of clinical gastroenterology 2022
Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications.
Preuss Kiersten et al. Cancers 2022 14(7)
The role of artificial intelligence in pancreatic surgery: a systematic review.
Schlanger D et al. Updates in surgery 2022
Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images.
Gai Tiancheng et al. Journal of X-ray science and technology 2022
Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Pancreatic Cancer: A Scoping Review.
Janssen Boris V et al. Annals of surgery 2021
Artificial Intelligence-Based Segmentation of Residual Tumor in Histopathology of Pancreatic Cancer after Neoadjuvant Treatment.
Janssen Boris V et al. Cancers 2021 13(20)
Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art.
Bakasa Wilson et al. Computational and mathematical methods in medicine 2021 20211188414
Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study.
Watson Michael D et al. The American surgeon 2020 Dec 3134820982557
Reproducibility of tumor budding assessment in pancreatic cancer based on a multicenter interobserver study.
Karamitopoulou Eva et al. Virchows Archiv : an international journal of pathology 2020 Dec
Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study.
Appelbaum Limor et al. European journal of cancer (Oxford, England : 1990) 2020 Dec 14319-30
Prediagnostic Image Data, Artificial Intelligence, and Pancreatic Cancer: A Tell-Tale Sign to Early Detection.
Young Matthew R et al. Pancreas 2020 Aug 49(7) 882-886
Early detection of pancreatic cancer.
Garg Sushil Kumar et al. Current opinion in gastroenterology 2020 Jul
Artificial Neural Network Modeling of Novel Coronavirus (COVID-19) Incidence Rates across the Continental United States.
Mollalo Abolfazl et al. International journal of environmental research and public health 2020 17(12)
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.
Dalal Vipin et al. Cancer letters 2019 Oct
A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer.
Nasief Haidy, et al. NPJ precision oncology 2019 0 0. 25
An Artificial Intelligence Tool to Improve Pancreatic Cancer Outcomes
S Rosen, Mato Clinic blog, August 13, 2019
Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.
Bradley Alison et al. Pancreas 48(5) 598-604
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