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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Last data update: Jan 28, 2023
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Evaluation of automatic discrimination between benign and malignant prostate tissue in the era of high precision digital pathology.
Zhdanovich Yauheniya et al. BMC bioinformatics 2023 24(1) 1
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Blood-based DNA methylation profiling for the detection of ovarian cancer.
Li Ning et al. Gynecologic oncology 2022
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Comprehensive analysis of the associations between clinical factors and outcomes by machine learning, using post marketing surveillance data of cabazitaxel in patients with castration-resistant prostate cancer.
Kazama Hirotaka et al. BMC cancer 2022 22(1) 470
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Machine learning algorithms to estimate 10-Year survival in patients with bone metastases due to prostate cancer: toward a disease-specific survival estimation tool.
Anderson Ashley B et al. BMC cancer 2022 22(1) 476
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Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia Marc et al. The Lancet. Digital health 2022 4(5) e330-e339
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Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.
Hu Danqing et al. JMIR medical informatics 2022 10(4) e35475
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Swarm learning for decentralized artificial intelligence in cancer histopathology.
Saldanha Oliver Lester et al. Nature medicine 2022
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Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.
Chen Wansu et al. Journal of clinical gastroenterology 2022
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A Predictive Model for Qualitative Evaluation of PG-SGA in Tumor Patients Through Machine Learning.
Liu Xiangliang et al. Cancer management and research 2022 141431-1441
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Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review.
Yang Xinyu et al. JMIR medical informatics 2022 10(4) e33799
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A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.
Xue Zhiyun et al. Proceedings. IEEE International Symposium on Computer-Based Medical Systems 2022 2021527-532
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Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.
Tzelves Lazaros et al. PloS one 2022 17(4) e0265127
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Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review.
Michaely Henrik J et al. Diagnostics (Basel, Switzerland) 2022 12(4)
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Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review.
Davri Athena et al. Diagnostics (Basel, Switzerland) 2022 12(4)
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The Utility of Conventional Amino Acid PET Radiotracers in the Evaluation of Glioma Recurrence also in Comparison with MRI.
Santo Giulia et al. Diagnostics (Basel, Switzerland) 2022 12(4)
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Glioma Tumors' Classification Using Deep-Neural-Network-Based Features with SVM Classifier.
Latif Ghazanfar et al. Diagnostics (Basel, Switzerland) 2022 12(4)
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Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma.
Lisson Catharina Silvia et al. Cancers 2022 14(8)
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Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach.
Shimpi Neel et al. Journal of personalized medicine 2022 12(4)
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CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma.
Tan Eelin et al. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery 2022
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Breast cancer detection using artificial intelligence techniques: A systematic literature review.
Nassif Ali Bou et al. Artificial intelligence in medicine 2022 127102276
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Multi-Classification of Brain Tumors on Magnetic Resonance Images Using an Ensemble of Pre-Trained Convolutional Neural Networks.
Wu Miao et al. Current medical imaging 2022
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Prediction Models for Radiation-Induced Neurocognitive Decline in Adult Patients With Primary or Secondary Brain Tumors: A Systematic Review.
Tohidinezhad Fariba et al. Frontiers in psychology 2022 13853472
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Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma.
Li Wenle et al. Frontiers in medicine 2022 9807382
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Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity.
Brown Sherry-Ann et al. American heart journal plus : cardiology research and practice 2022 13
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An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload.
Lauritzen Andreas D et al. Radiology 2022 210948
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Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study.
Areia Miguel et al. The Lancet. Digital health 2022
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Digital technologies in cancer care: a review from the clinician's perspective.
Briggs Logan G et al. Journal of comparative effectiveness research 2022
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Artificial intelligence and machine learning for early detection and diagnosis of colorectal cancer in sub-Saharan Africa.
Waljee Akbar K et al. Gut 2022
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Predictive models for clinical decision making: Deep dives in practical machine learning.
Eloranta Sandra et al. Journal of internal medicine 2022
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Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.
Meiseles Amiel et al. Computers in biology and medicine 2022 145105490
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Page last reviewed:
Jul 25, 2022
Page last updated:
Jan 28, 2023
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