Last Update Date: Dec 06, 2019
- Algorithms on regulatory lockdown in medicine
B Babic et al, Science December 6, 2019 - Unpacking the Black Box in Artificial Intelligence for Medicine
E Bender, Undark, December 4, 2019 - Translational Informatics for Parkinson's Disease: from Big Biomedical Data to Small Actionable Alterations.
Shen Bairong et al. Genomics, proteomics & bioinformatics 2019 Nov - Internet-Based Management for Depressive Disorder.
Wang Zuowei et al. Advances in experimental medicine and biology 2019 1180267-276 - Human factors challenges for the safe use of artificial intelligence in patient care.
Sujan Mark et al. BMJ health & care informatics 2019 Nov 26(1) - Towards spike-based machine intelligence with neuromorphic computing.
Roy Kaushik et al. Nature 2019 Nov 575(7784) 607-617 - Prospective prediction of suicide attempts in community adolescents and young adults, using regression methods and machine learning.
Miché Marcel et al. Journal of affective disorders 2019 Nov - Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets.
Murtojärvi Mika et al. International journal of medical informatics 2019 Nov 133104014 - Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
Wang Hao et al. European journal of radiology 2019 Nov 122108755 - Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer.
Gao Yuan et al. Chinese medical journal 2019 Nov - Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy.
Lo Gullo Roberto et al. Breast (Edinburgh, Scotland) 2019 Nov 49115-122 - Machine Learning Mortality-Classification in Clinical Documentation with Increased Accuracy in Visual-Based Analyses.
Slattery Susan M et al. Acta paediatrica (Oslo, Norway : 1992) 2019 Nov - Deep learning for lesion detection, progression, and prediction of musculoskeletal disease.
Kijowski Richard et al. Journal of magnetic resonance imaging : JMRI 2019 Nov - Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer's disease to Parkinson's disease.
Choi Hongyoon et al. European journal of nuclear medicine and molecular imaging 2019 Nov - Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset.
Filice Ross W et al. Journal of digital imaging 2019 Nov - A Framework for Predicting Impactability of Digital Care Management Using Machine Learning Methods.
Mattie Heather et al. Population health management 2019 Nov - A novel artificial intelligence system for the assessment of bowel preparation (with video).
Zhou Jie et al. Gastrointestinal endoscopy 2019 Nov - Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
González-Gonzalo Cristina et al. Acta ophthalmologica 2019 Nov - Ethical Considerations in the Advent of Artificial Intelligence in Otolaryngology.
Arambula Alexandra M et al. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery 2019 Nov 194599819889686 - Using a Machine Learning System to Identify and Prevent Medication Prescribing Errors: A Clinical and Cost Analysis Evaluation.
Rozenblum Ronen et al. Joint Commission journal on quality and patient safety 2019 Nov
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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