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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Public Health Genomics Branch
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 01, 2024
. (Total: 63728 Documents since 2012)
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Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist.
Susanne Gaube et al. Soc Sci Med 2024 349116871
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Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects.
Oliver Díaz et al. Eur J Radiol 2024 175111457
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Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
Leyuan Meng et al. Front Public Health 2024 121368217
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A Semiautonomous Deep Learning System to Reduce False-Positive Findings in Screening Mammography.
Stefano Pedemonte et al. Radiol Artif Intell 2024 e230033
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Artificial intelligence and skin cancer.
Maria L Wei et al. Front Med (Lausanne) 2024 111331895
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Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study.
Jakob Weiss et al. Ann Intern Med 2024
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The promise of AI in personalized breast cancer screening: are we there yet?
Despina Kontos et al. Nat Rev Clin Oncol 2024
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Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.
Huijie Wang et al. Front Oncol 2024 141325514
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Telemedicine-Enhanced Lung Cancer Screening Using Mobile Computed Tomography Unit with Remote Artificial Intelligence Assistance in Underserved Communities: Initial Results of a Population Cohort Study in Western China.
Wenjuan Tao et al. Telemed J E Health 2024
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Basic principles of artificial intelligence in dermatology explained using melanoma.
Tim Hartmann et al. J Dtsch Dermatol Ges 2024
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Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.
Zheng Feng et al. Stud Health Technol Inform 2024 310419-423
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Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches.
Matthew T Warkentin et al. Thorax 2024
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Artificial intelligence for triaging of breast cancer screening mammograms and workload reduction: A meta-analysis of a deep learning software.
Debora Xavier et al. J Med Screen 2023 9691413231219952
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Clinical application of convolutional neural network for mass analysis on mammograms.
Lin Li et al. Quant Imaging Med Surg 2023 13(12) 8413-8422
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Large-scale pancreatic cancer detection via non-contrast CT and deep learning.
Kai Cao et al. Nat Med 2023
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Impact of real-life use of artificial intelligence as support for human reading in a population-based breast cancer screening program with mammography and tomosynthesis.
Esperanza Elías-Cabot et al. Eur Radiol 2023
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Artificial intelligence and visual inspection in cervical cancer screening.
Carolyn Nakisige et al. Int J Gynecol Cancer 2023
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Validation of Automated Visual Evaluation (AVE) on Smartphone Images for Cervical Cancer Screening in a Prospective Study in Zambia.
Liming Hu et al. medRxiv 2023
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S Adams et al, Lancet, August 5, 2023
Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening?
Sara E Cerminara et al. Eur J Cancer 2023 190112954
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Comparing Prognostic Factors of Cancers Identified by Artificial Intelligence (AI) and Human Readers in Breast Cancer Screening.
Cary J G Oberije et al. Cancers (Basel) 2023 15(12)
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Non-Melanoma Skin Cancer Detection in the Age of Advanced Technology: A Review.
Haleigh Stafford et al. Cancers (Basel) 2023 15(12)
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Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions.
Clayton R Taylor et al. Diagnostics (Basel) 2023 13(12)
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Extent of use of artificial intelligence & machine learning protocols in cancer diagnosis: A scoping review.
Amit Dang et al. Indian J Med Res 2023 157(1) 11-22
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Extent of use of artificial intelligence & machine learning protocols in cancer diagnosis: A scoping review.
Amit Dang et al. The Indian journal of medical research 2023
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Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening.
Marco Spadaccini et al. Diagnostics (Basel, Switzerland) 2023 13(6)
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Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.
Jasbir Dhaliwal et al. Gastrointestinal endoscopy clinics of North America 2023 33(2) 291-308
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Assessment of the implementation context in preparation for a clinical study of machine-learning algorithms to automate the classification of digital cervical images for cervical cancer screening in resource-constrained settings.
Delivette Castor et al. Frontiers in health services 2023 21000150
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Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.
Rebecca Landy et al. JAMA network open 2023 6(3) e233273
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Using Recurrent Neural Networks to Extract High-Quality Information From Lung Cancer Screening Computerized Tomography Reports for Inter-Radiologist Audit and Feedback Quality Improvement.
Yucheng Zhang et al. JCO clinical cancer informatics 2023 7e2200153
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 01, 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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