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Genomics and Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB
Last data update: Dec 28, 2020. (Total: 37862 Documents since 2012)
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Records 1-30 (of 309 Record(s))
Query Trace: all[original query]>>Non-Genomics Precision Health [Category]
Publication
Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.
Khan Faiz Ahmad et al. The Lancet. Digital health 2020 Nov 2(11) e573-e581
Mapping routine measles vaccination in low- and middle-income countries
Local Burden of Disease, Nature, December 2020
Using artificial intelligence for pulmonary TB prevention, diagnosis, and treatment.
Jain Manoj et al. The Indian journal of tuberculosis 2020 67(4S) S119-S121
Current Application of Digital Diagnosing Systems for Retinopathy of Prematurity.
Bao Yuekun et al. Computer methods and programs in biomedicine 2020 Nov 105871
Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival.
Hung Man et al. World journal of clinical oncology 2020 Nov 11(11) 918-934
Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis.
Chernbumroong Saisakul et al. The European respiratory journal 2020 Dec
Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy.
Satriano Alessandro et al. Frontiers in cardiovascular medicine 2020 7584727
Computer-aided diagnosis of esophageal cancer and neoplasms in endoscopic images: a systematic review and meta-analysis of diagnostic test accuracy.
Bang Chang Seok et al. Gastrointestinal endoscopy 2020 Dec
Deep neural network-based machine learning reduces the screening workload for systematic review: Investigation based on recent clinical guidelines.
Yamada Tomohide et al. Journal of medical Internet research 2020 Nov
Supporting elimination of lymphatic filariasis in Samoa by predicting locations of residual infection using machine learning and geostatistics.
Mayfield Helen J et al. Scientific reports 2020 Nov 10(1) 20570
The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies.
Overhoff Daniel et al. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 2020 Nov
Diving Deep into Deep Learning: An Update on Artificial Intelligence in Retina.
Goldhagen Brian E et al. Current ophthalmology reports 2020 Sep 8(3) 121-128
Neuropsychological assessment could distinguish among different clinical phenotypes of progressive supranuclear palsy: A Machine Learning approach.
Vaccaro Maria Grazia et al. Journal of neuropsychology 2020 Nov
Assessment of 135 794 Pediatric Patients Tested for Severe Acute Respiratory Syndrome Coronavirus 2 Across the United States.
Bailey L Charles et al. JAMA pediatrics 2020 Nov
These Algorithms Could Bring an End to the World’s Deadliest Killer- In rural India and other places where tuberculosis is rampant, A.I. that scans lung X-rays might eliminate the scourge.
A Mandavilli, NY Times, November 20, 2020
Comparison of Multivariable Logistic Regression and Other Machine Learning Algorithms for Prognostic Prediction Studies in Pregnancy Care: Systematic Review and Meta-Analysis.
Sufriyana Herdiantri et al. JMIR medical informatics 2020 Nov 8(11) e16503
A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy.
Holmström Oscar et al. PloS one 2020 15(11) e0242355
Malaria Screener: a smartphone application for automated malaria screening.
Yu Hang et al. BMC infectious diseases 2020 Nov 20(1) 825
The LEukemia Artificial Intelligence Program (LEAP) in Chronic Myeloid Leukemia in Chronic Phase: A Model to Improve Patient Outcomes.
Sasaki Koji et al. American journal of hematology 2020 Nov
Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.
Zhang Zhongheng et al. Journal of evidence-based medicine 2020 Nov
A clinical score for identifying active tuberculosis while awaiting microbiological results: Development and validation of a multivariable prediction model in sub-Saharan Africa
Y Baik et al, PLOS Medicine, November 11, 2020
Joint and interactive effects between health comorbidities and environmental exposures in predicting amyotrophic lateral sclerosis.
Bellavia Andrea et al. International journal of hygiene and environmental health 2020 Oct 231113655
Large-scale multivariate forecasting models for Dengue - LSTM versus random forest regression.
Mussumeci Elisa et al. Spatial and spatio-temporal epidemiology 2020 Nov 35100372
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer.
Alabi Rasheed Omobolaji et al. International journal of medical informatics 2020 Oct 145104313
Evaluation of a novel retinopathy of prematurity severity scale applied by clinicians and deep learning.
Campbell J Peter et al. Ophthalmology 2020 Oct
Impact of the Transition from ICD-9-CM to ICD-10-CM on the Identification of Pregnancy Episodes in US Health Insurance Claims Data.
Sarayani Amir et al. Clinical epidemiology 2020 121129-1138
Classification of renal tumour using convolutional neural networks to detect oncocytoma.
Pedersen Mikkel et al. European journal of radiology 2020 Oct 133109343
Natural language processing with machine learning to predict outcomes after ovarian cancer surgery.
Barber Emma L et al. Gynecologic oncology 2020 Oct
Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases.
Thomsen Kenneth et al. Frontiers in medicine 2020 7574329
Artificial Intelligence and Its Role in Identifying Esophageal Neoplasia.
Syed Taseen et al. Digestive diseases and sciences 2020 Oct
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