Last Update Date: Sep 19, 2020
- Time to reality check the promises of machine learning-powered precision medicine
J Wilkinson et al, Lancet Digital Health, September 16, 2020 - Severe COVID-19 Infections—Knowledge Gained and Remaining Questions
LDJ Bos et al, JAMA Internal Medicine, September 18, 2020 - Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning.
Bikia Vasiliki et al. Scientific reports 2020 Sep 10(1) 15015 - Electronic health record-based disease surveillance systems: A systematic literature review on challenges and solutions.
Aliabadi Ali et al. Journal of the American Medical Informatics Association : JAMIA 2020 Sep - [Research and application of artificial intelligence based three-dimensional preoperative planning system for total hip arthroplasty].
Wu Dong et al. Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery 2020 Sep 34(9) 1077-1084 - Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.
Al-Mamun Mohammad A et al. The Annals of pharmacotherapy 2020 Sep 1060028020959042 - A Novel Multiple-Cue Observational Clinical Scale for Functional Evaluation of Gait After Stroke - The Stroke Mobility Score (SMS).
Raab Dominik et al. Medical science monitor : international medical journal of experimental and clinical research 2020 Sep 26e923147 - An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.
Shen Jiayi et al. Journal of medical Internet research 2020 Sep 22(9) e21573 - The clinical characterization of the adult patient with depression aimed at personalization of management.
Maj Mario et al. World psychiatry : official journal of the World Psychiatric Association (WPA) 2020 Oct 19(3) 269-293 - A Time-Phased Machine Learning Model for Real-Time Prediction of Sepsis in Critical Care.
Li Xiang et al. Critical care medicine 2020 Oct 48(10) e884-e888 - Optimized Identification of Advanced Chronic Kidney Disease and Absence of Kidney Disease by Combining Different Electronic Health Data Resources and by Applying Machine Learning Strategies.
Weber Christoph et al. Journal of clinical medicine 2020 Sep 9(9) - Identification of Gastritis Subtypes by Convolutional Neuronal Networks on Histological Images of Antrum and Corpus Biopsies.
Steinbuss Georg et al. International journal of molecular sciences 2020 Sep 21(18) - Digital Pathology Platform for Respiratory Tract Infection Diagnosis via Multiplex Single-Particle Detections.
Arima Akihide et al. ACS sensors 2020 Sep - Gradient boosting for Parkinson's disease diagnosis from voice recordings.
Karabayir Ibrahim et al. BMC medical informatics and decision making 2020 Sep 20(1) 228 - Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis.
Azam Ayesha S et al. Journal of clinical pathology 2020 Sep - Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia.
Tseng Vincent W-S et al. Scientific reports 2020 Sep 10(1) 15100 - Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging.
Meyer-Bäse Anke et al. Contrast media & molecular imaging 2020 20206805710 - Developing and Validating a Primary Care EMR-based Frailty Definition using Machine Learning.
Tyler Williamson PhD et al. International journal of population data science 2020 Sep 5(1) 1344 - Reporting of demographic data and representativeness in machine learning models using electronic health records.
Bozkurt Selen et al. Journal of the American Medical Informatics Association : JAMIA 2020 Sep - [Smartphone-based photographic wound documentation improves the quality of medical accounting in orthopedic and plastic surgery].
Jordan Martin C et al. Der Unfallchirurg 2020 Sep
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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