Last Update Date: Jul 03, 2019
- Automated Algorithms and Retinopathy of Prematurity Treatment
WV Good, JAMA Ophthalmology, July 3, 2019 - India and the United Kingdom-What big data health research can do for a country.
Bandopadhyay Souvik et al. Learning health systems 2019 Apr 3(2) e10074 - [Randomized controlled trial based on big data].
Xu L et al. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi 2019 Jun 40(6) 702-706 - Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.
Zack Chad J et al. JACC. Cardiovascular interventions 2019 Jun - Clinical Documentation and Patient Care Using Artificial Intelligence in Radiation Oncology.
Luh Join Y et al. Journal of the American College of Radiology : JACR 2019 Jun - A Study on the Application and Use of Artificial Intelligence to Support Drug Development.
Lamberti Mary Jo et al. Clinical therapeutics 2019 Jun - New Insights in Computational Methods for Pharmacovigilance: E-Synthesis , a Bayesian Framework for Causal Assessment.
De Pretis Francesco et al. International journal of environmental research and public health 2019 Jun 16(12) - Gastroenterologist-level Identification of Small Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-learning Model.
Ding Zhen et al. Gastroenterology 2019 Jun - Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study.
Alessa Ali et al. JMIR public health and surveillance 2019 Jun 5(2) e12383 - Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study.
Alessa Ali et al. JMIR public health and surveillance 2019 Jun 5(2) e12383 - Assessing the effectiveness of artificial intelligence methods for melanoma:A retrospective review.
Cui Xiaoyu et al. Journal of the American Academy of Dermatology 2019 Jun - Using machine learning to examine the relationship between asthma and absenteeism.
Lary Maria-Anna et al. Environmental monitoring and assessment 2019 Jun 191(Suppl 2) 332 - Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain.
Hu Xiao-Su et al. Journal of medical Internet research 2019 Jun 21(6) e13594 - Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.
Haider Nishi Shahnaj et al. Journal of medical systems 2019 Jun 43(8) 255 - Time-series analysis of satellite-derived fine particulate matter pollution and asthma morbidity in Jackson, MS.
Chang Howard H et al. Environmental monitoring and assessment 2019 Jun 191(Suppl 2) 280 - Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning.
Zaharchuk Greg et al. European journal of nuclear medicine and molecular imaging 2019 Jun - Technology-Enabled Outreach to Patients Taking High-Risk Medications Reduces a Quality Gap in Completion of Clinical Laboratory Testing.
Raebel Marsha A et al. Population health management 2019 May - The National Artificial Intelligence Research and Development Strategic Plan: 2019 UPDATE
The White House, June 2019 - Reimagining Specialty Consultation in the Digital Age: The Potential Role of Targeted Automatic Electronic Consultations.
Wachter Robert M et al. JAMA 2019 Jun
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