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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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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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Epilepsy classification using artificial intelligence: a web-based application.
Ali A Asadi-Pooya et al. Epilepsia Open 2023
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Deep learning in neuroimaging of epilepsy.
Karla Batista García-Ramó et al. Clin Neurol Neurosurg 2023 232107879
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Prediction of epilepsy surgery outcome using foramen ovale EEG - A machine learning approach.
Gadi Miron et al. Epilepsy research 2023 191107111
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In-hospital and home-based long-term monitoring of focal epilepsy with a wearable electroencephalography device. Diagnostic yield and user experience.
Jaiver Macea et al. Epilepsia 2023
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Deep learning for collateral evaluation in ischemic stroke with imbalanced data.
Aktar Mumu et al. International journal of computer assisted radiology and surgery 2023
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Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning.
Rico-Jimenez Jose J et al. Journal of biomedical optics 2022 27(10)
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Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics.
Keek Simon A et al. Frontiers in oncology 2022 12920393
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Deep Learning for Approaching Hepatocellular Carcinoma Ultrasound Screening Dilemma: Identification of α-Fetoprotein-Negative Hepatocellular Carcinoma From Focal Liver Lesion Found in High-Risk Patients.
Zhang Wei-Bin et al. Frontiers in oncology 2022 12862297
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Antibiotic Decision-Making in the ICU.
Parra-Rodriguez Luis et al. Seminars in respiratory and critical care medicine 2022 43(1) 141-149
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Interpretable CNN for ischemic stroke subtype classification with active model adaptation.
Zhang Shuo et al. BMC medical informatics and decision making 2022 22(1) 3
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Inter-patient arrhythmia classification with improved deep residual convolutional neural network.
Li Yuanlu et al. Computer methods and programs in biomedicine 2021 214106582
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Can we predict anti-seizure medication response in focal epilepsy using machine learning?
Lee Dong Ah et al. Clinical neurology and neurosurgery 2021 211107037
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Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experience.
Youn Seo Yeon et al. European journal of radiology 2021 142109894
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Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning.
Cromwell Elizabeth A et al. PLoS neglected tropical diseases 2021 15(7) e0008824
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Development and validation of artificial intelligence to detect and diagnose liver lesions from ultrasound images.
Tiyarattanachai Thodsawit et al. PloS one 2021 16(6) e0252882
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Ophthalmic Disease Detection via Deep Learning With A Novel Mixture Loss Function.
Luo Xiong et al. IEEE journal of biomedical and health informatics 2021 PP
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Development of deep learning algorithms for predicting blastocyst formation and quality by time-lapse monitoring.
Liao Qiuyue et al. Communications biology 2021 4(1) 415
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Performance of Ultrasound Techniques and the Potential of Artificial Intelligence in the Evaluation of Hepatocellular Carcinoma and Non-Alcoholic Fatty Liver Disease.
Lupsor-Platon Monica et al. Cancers 2021 13(4)
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Machine learning approach to detect focal-onset seizures in the human anterior nucleus of the thalamus.
Toth Emilia et al. Journal of neural engineering 2020 Oct
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Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting.
Meisel Christian et al. Epilepsia 2020 Oct
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What's New for Clinical Whole-body MRI (WB-MRI) in the 21 st Century.
Tunariu Nina et al. The British journal of radiology 2020 Aug 20200562
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Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography.
Xi Ianto Lin et al. Abdominal radiology (New York) 2020 Jul
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FecalNet: Automated detection of visible components in human feces using deep learning.
Li Qiaoliang et al. Medical physics 2020 Jun
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Novel Deep Learning Network Analysis of Electrical Stimulation Mapping-driven Diffusion MRI Tractography to Improve Preoperative Evaluation of Pediatric Epilepsy.
Lee Min-Hee et al. IEEE transactions on bio-medical engineering 2020 Mar
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Skin cancer diagnosis based on optimized convolutional neural network.
Zhang Ni et al. Artificial intelligence in medicine 2020 Jan 102101756
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Automated detection of focal cortical dysplasia using a deep convolutional neural network.
Wang Huiquan et al. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society 2019 Nov 79101662
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Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy.
Varatharajah Yogatheesan et al. Journal of neural engineering 2018 15(4) 046035
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Machine Learning Goes Mainstream: PLOS Medicine 15th Anniversary
PLOS Blogs, October 8, 2019
18 F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia.
Li Hebei et al. Theranostics 2019 9(16) 4730-4739
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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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