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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Last data update: Jan 31, 2023
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all[original query]>>Cancer[Category]
Performance of statistical and machine learning risk prediction models for surveillance benefits and failures in breast cancer survivors.
Yu-Ru Su et al. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2023
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Prediction of bone metastasis in non-small cell lung cancer based on machine learning.
Meng-Pan Li et al. Frontiers in oncology 2023 121054300
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Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.
Ruiyang Wu et al. PloS one 2023 18(1) e0280340
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OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations.
Zoucheng Pan et al. EBioMedicine 2023 88104443
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Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.
Pierpaolo Alongi et al. Current medical imaging 2023
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A Deep-Learning-Based Artificial Intelligence System for the Pathology Diagnosis of Uterine Smooth Muscle Tumor.
Haiyun Yu et al. Life (Basel, Switzerland) 2023 13(1)
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Establishment of prognostic models of adrenocortical carcinoma using machine learning and big data.
Jun Tang et al. Frontiers in surgery 2023 9966307
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Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach.
Himanish Shekhar Das et al. Frontiers in genetics 2023 131097207
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A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning.
Ziye Wang et al. Frontiers in endocrinology 2023 131083569
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Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial.
Pu Wang et al. Gastroenterology report 2023 11goac081
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Machine-learning prediction model for acute skin toxicity after breast radiation therapy using spectrophotometry.
Savino Cilla et al. Frontiers in oncology 2023 121044358
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A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital.
Richa Bansal et al. Frontiers in artificial intelligence 2023 51050803
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Classification Prediction of Breast Cancer Based on Machine Learning.
Hua Chen et al. Computational intelligence and neuroscience 2023 20236530719
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Use of Artificial Intelligence for Cancer Clinical Trial Enrolment: A Systematic Review and Meta-Analysis.
Ronald Chow et al. Journal of the National Cancer Institute 2023
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The Oesophageal Cancer Multidisciplinary Team: Can Machine Learning Assist Decision-Making?
Navamayooran Thavanesan et al. Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 2023
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Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients.
Abdella M Ahmed et al. Biomedical physics & engineering express 2023
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Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning.
Sunyi Zheng et al. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2023 109483
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Development and Validation of a Machine Learning Model for Detection and Classification of Tertiary Lymphoid Structures in Gastrointestinal Cancers.
Zhe Li et al. JAMA network open 2023 6(1) e2252553
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Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer.
Park Jung In et al. BMJ health & care informatics 2023 30(1)
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Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis.
Ozkara Burak B et al. Cancers 2023 15(2)
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The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the "Real World"?
Sollini Martina et al. Cancers 2023 15(2)
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The Use of Artificial Intelligence (AI) in the Radiology Field: What Is the State of Doctor-Patient Communication in Cancer Diagnosis?
Derevianko Alexandra et al. Cancers 2023 15(2)
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Artificial Intelligence Assisted Computational Tomographic Detection of Lung Nodules for Prognostic Cancer Examination: A Large-Scale Clinical Trial.
Chao Heng-Sheng et al. Biomedicines 2023 11(1)
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Overview of Artificial Intelligence in Breast Cancer Medical Imaging.
Zheng Dan et al. Journal of clinical medicine 2023 12(2)
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Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.
Fukuda Toshinori et al. Ultrasound in medicine & biology 2023
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Clinical prototype implementation enabling an improved day-to-day mammography compression.
Hertel Madeleine et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2023 106102524
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Evaluation of Preoperative Microvascular Invasion in Hepatocellular Carcinoma Through Multidimensional Parameter Combination Modeling Based on Gd-EOB-DTPA MRI.
Zhang Han-Dan et al. Journal of clinical and translational hepatology 2023 11(2) 350-359
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HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry.
Cordova Claudio et al. Oncology letters 2023 25(2) 44
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Role of artificial intelligence in diagnosing Barrett's esophagus related neoplasia.
Meinikheim Michael et al. Clinical endoscopy 2023
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Machine learning approach for prediction of pT3a upstaging and outcomes of localized RCC (UroCCR-15).
Boulenger de Hauteclocque A et al. BJU international 2023
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Page last reviewed:
Jul 25, 2022
Page last updated:
Jan 31, 2023
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