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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
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Last data update: Apr 25, 2024
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Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease.
Timothy Burton et al. Diagnostics (Basel) 2024 14(7)
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Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence.
Sulaiman Somani et al. NPJ Digit Med 2024 7(1) 83
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Clinical Evaluation of Deep Learning for Tumor Delineation on F-FDG PET/CT of Head and Neck Cancer.
David G Kovacs et al. J Nucl Med 2024
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Deep learning performance on MRI prostate gland segmentation: evaluation of two commercially available algorithms compared with an expert radiologist.
Erik Thimansson et al. J Med Imaging (Bellingham) 2024 11(1) 015002
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Synergizing Expertise and Technology: The Artificial intelligence Revolution in Radiotherapy for Personalized and Precise Cancer Treatment.
Fadila Kouhen et al. Gulf J Oncolog 2024 1(44) 94-102
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Delta radiomics analysis for prediction of intermediary- and high-risk factors for patients with locally advanced cervical cancer receiving neoadjuvant therapy.
Rong-Rong Wu et al. Sci Rep 2023 13(1) 19409
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An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study.
Kaylen J Pfisterer et al. JMIR Cancer 2023 9e44332
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Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI.
Enis C Yilmaz et al. Eur J Radiol 2023 168111095
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A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
Binxu Qiu et al. Front Oncol 2023 131235121
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A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics.
Hari Mohan Rai et al. J Cancer Res Clin Oncol 2023
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Study of Patient and Physician Attitudes Toward Automated Prognostic Models for Patients With Metastatic Cancer.
Rachel D Hildebrand et al. JCO Clin Cancer Inform 2023 7e2300023
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Development of a prediction model for head and neck volume reduction by clinical factors, dose-volume histogram parameters and radiomics in head and neck cancer†.
Miyu Ishizawa et al. J Radiat Res 2023
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Machine Learning for Predicting Clinician Evaluation of Treatment Plans for Left-Sided Whole Breast Radiation Therapy.
Christian Fiandra et al. Adv Radiat Oncol 2023 8(5) 101228
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Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach.
Kevin A Chen et al. J Gastrointest Surg 2023
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Machine learning-based prediction of surgical benefit in borderline resectable and locally advanced pancreatic cancer.
Leiming Zhang et al. J Cancer Res Clin Oncol 2023
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Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews.
Antti A Mäkitie et al. Adv Ther 2023
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Diagnostic Performance of Machine Learning-Derived Radiomics Signature of Pericoronary Adipose Tissue in Coronary Computed Tomography Angiography for Coronary Artery In-Stent Restenosis.
Keyi Cui et al. Acad Radiol 2023
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Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients.
Francisco J Núñez-Benjumea et al. Clin Transl Radiat Oncol 2023 41100640
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Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer.
Nienke Bakx et al. Tech Innov Patient Support Radiat Oncol 2023 26100211
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Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial.
Benjamin H Kann et al. Lancet Digit Health
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Current and potential applications of artificial intelligence in medical imaging practice: A narrative review.
Jaka Potocnik et al. J Med Imaging Radiat Sci 2023
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Deep learning enables MV-based real-time image guided radiation therapy for prostate cancer patients.
Danielle Maria Chrystall et al. Physics in medicine and biology 2023
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Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline.
Zezhong Ye et al. medRxiv : the preprint server for health sciences 2023
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A predictive model for personalization of nanotechnology-based phototherapy in cancer treatment.
Eli Varon et al. Frontiers in oncology 2023 121037419
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Development and validation of an ensemble machine-learning model for predicting early mortality among patients with bone metastases of hepatocellular carcinoma.
Ze Long et al. Frontiers in oncology 2023 131144039
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[Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction].
Yasuhiro Onizuka et al. Nihon Hoshasen Gijutsu Gakkai zasshi 2023
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Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation.
H Ahervo et al. Radiography (London, England : 1995) 2023 29(3) 496-502
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Computed Tomography of the Head : A Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose.
Michael Dieckmeyer et al. Clinical neuroradiology 2023
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Can we use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Post-Operative Adverse Events?
Mitchell S Fourman et al. World neurosurgery 2023
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Predictive Model of Liver Toxicity to Aid the Personalized Selection of Proton vs Photon Therapy in Hepatocellular Carcinoma.
Ibrahim Chamseddine et al. International journal of radiation oncology, biology, physics 2023
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 25, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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