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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Cancer

Last data update: May 12, 2021. (Total: 40019 Documents since 2012)
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Records 1-30 (of 885 Record(s))
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Publication
Deep learning for fully-automated prediction of overall survival in patients with oropharyngeal cancer using FDG PET imaging: an international retrospective study.
Cheng Nai-Ming et al. Clinical cancer research : an official journal of the American Association for Cancer Research 2021
Artificial intelligence in oncology: Path to implementation.
Chua Isaac S et al. Cancer medicine 2021
A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications.
Hashemzadeh Hadi et al. Scientific reports 2021 11(1) 9804
Improving DCIS diagnosis and predictive outcome by applying artificial intelligence.
Hayward Mary-Kate et al. Biochimica et biophysica acta. Reviews on cancer 2021 1876(1) 188555
Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images.
Buda Mateusz et al. Radiology. Artificial intelligence 2020 2(1) e180050
AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation.
Raya-Povedano José Luis et al. Radiology 2021 203555
Towards Patient-Centered Decision-Making in Breast Cancer Surgery: Machine Learning to Predict Individual Patient-Reported Outcomes at 1-Year Follow-up.
Pfob André et al. Annals of surgery 2021
Artificial intelligence in oncology: From bench to clinic.
Elkhader Jamal et al. Seminars in cancer biology 2021
Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).
Hajjo Rima et al. Diagnostics (Basel, Switzerland) 2021 11(5)
The Role of Artificial Intelligence in Managing Multimorbidity and Cancer.
Cesario Alfredo et al. Journal of personalized medicine 2021 11(4)
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.
Banegas-Luna Antonio Jesús et al. International journal of molecular sciences 2021 22(9)
Future artificial intelligence tools and perspectives in medicine.
Chaddad Ahmad et al. Current opinion in urology 2021
Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.
van Dijk Lisanne V et al. American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting 2021 411-11
Artificial intelligence for clinical oncology.
Kann Benjamin H et al. Cancer cell 2021
Clinical use of machine learning-based patho-mics signature for diagnosis and survival prediction of bladder cancer.
Chen Siteng et al. Cancer science 2021
Comparison of Prediction Models for Acute Kidney Injury Among Patients with Hepatobiliary Malignancies Based on XGBoost and LASSO-Logistic Algorithms.
Zhang Yunlu et al. International journal of general medicine 2021 141325-1335
Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on MRI for Targeted Biopsy.
Soerensen Simon John Christoph et al. The Journal of urology 2021 101097JU0000000000001783
Performance Evaluation of a Deep Learning System for Differential Diagnosis of Lung Cancer With Conventional CT and FDG PET/CT Using Transfer Learning and Metadata.
Park Yong-Jin et al. Clinical nuclear medicine 2021
Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review.
Yin Jiamin et al. Journal of medical Internet research 2021 23(4) e25759
Machine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study.
Huo Ling et al. Cancer management and research 2021 133367-3379
Machine Learning-Augmented Propensity Score Analysis of Percutaneous Coronary Intervention in Over 30 Million Cancer and Non-cancer Patients.
Monlezun Dominique J et al. Frontiers in cardiovascular medicine 2021 8620857
Treatment Response Prediction using MRI-based Pre-, Post- and Delta-Radiomic Features and Machine Learning Algorithms in Colorectal Cancer.
Shayesteh Sajad P et al. Medical physics 2021
Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.
Lind Margaret L et al. JAMA network open 2021 4(4) e214514
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy.
Naito Yoshiki et al. Scientific reports 2021 11(1) 8454
Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.
Mahmood Hanya et al. British journal of cancer 2021
Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.
Qian Xuejun et al. Nature biomedical engineering 2021
Application of logistic regression and convolutional neural network in prediction and diagnosis of high-risk populations of lung cancer.
Yuan Huijie et al. European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) 2021
Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.
O'Shea Robert J et al. European radiology 2021
Predicting breast cancer 5-year survival using machine learning: A systematic review.
Li Jiaxin et al. PloS one 2021 16(4) e0250370
Can synthetic data be a proxy for real clinical trial data? A validation study.
Azizi Zahra et al. BMJ open 2021 11(4) e043497
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