Last Update Date: Nov 04, 2019
- Dissecting racial bias in an algorithm used to manage the health of populations
Z Obermeyer et al, Science, November 2019 - Opening the Black Box of Artificial Intelligence for Clinical Decision Support: A Study Predicting Stroke Outcome
E Zihni et al, MedRXIV, November 4, 2019 - Algorithmic Bias In Health Care: A Path Forward
Z Obermeyer et al, Health Affairs, November 1, 2019 - Biomarkers for Clinical Decision-Making in the Management of Pulmonary Embolism.
Giannitsis Evangelos et al. Clinical chemistry 2017 Jan 63(1) 91-100 - The health information exchange has evolved from hunter and gatherer to cultivator
C Wiliams, Stat News, October 31, 2019 - Why 100,000 poop photos may bring the next big thing in fitness tracking-New crowdsourcing initiative aims to build an app that tracks users' gastrointestinal health
S Salzman, NBC News, October 28, 2019 - Microbiome Big-Data Mining and Applications Using Single-Cell Technologies and Metagenomics Approaches Toward Precision Medicine.
Cheng Mingyue et al. Frontiers in genetics 2019 10972 - The importance of study design in the application of artificial intelligence methods in medicine.
Eklund Martin et al. NPJ digital medicine 2019 2101 - Early diagnosis of gastric cancer based on deep learning combined with the spectral-spatial classification method.
Li Yuanpeng et al. Biomedical optics express 2019 Oct 10(10) 4999-5014 - Deep learning based on standard H&E images of primary melanoma tumors identifies patients at risk for visceral recurrence and death.
Kulkarni Prathamesh M et al. Clinical cancer research : an official journal of the American Association for Cancer Research 2019 Oct - Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning.
Kuo Weicheng et al. Proceedings of the National Academy of Sciences of the United States of America 2019 Oct - Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.
Hwang Eui Jin et al. Radiology 2019 Oct 191225 - Application of Artificial Intelligence in Gastrointestinal Endoscopy.
He Yishan et al. Journal of digestive diseases 2019 Oct - Glaucoma management in the era of artificial intelligence.
Devalla Sripad Krishna et al. The British journal of ophthalmology 2019 Oct - Recommendations and future directions for supervised machine learning in psychiatry.
Cearns Micah et al. Translational psychiatry 2019 Oct 9(1) 271 - Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol.
Tomlinson Anneka et al. Evidence-based mental health 2019 Oct - ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches.
Wu Zhenxing et al. Journal of chemical information and modeling 2019 Oct - Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology.
Turner Oliver C et al. Toxicologic pathology 2019 Oct 192623319881401 - Computer-aided diagnosis system for breast ultrasound images using deep learning.
Tanaka Hiroki et al. Physics in medicine and biology 2019 Oct - Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.
Gradus Jaimie L et al. JAMA psychiatry 2019 Oct
Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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