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Last Posted: Jun 17, 2021

• Implementation of a Machine-Learning Algorithm in the Electronic Health Record for Targeted Screening for Familial Hypercholesterolemia: A Quality Improvement Study.
  Sheth Samip et al. Circulation. Cardiovascular quality and outcomes 2021 CIRCOUTCOMES120007641
• Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population.
  Manemann Sheila M et al. BMJ open 2021 11(6) e044353
• Obstructive sleep apnea prediction from electrocardiogram scalograms and spectrograms using convolutional neural networks.
  Nasifoglu Huseyin et al. Physiological measurement 2021
• Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept.
  Luvizutto Gustavo José et al. Topics in stroke rehabilitation 2021 1-16
• Machine Learning-Based Prediction of Brain Tissue Infarction in Patients With Acute Ischemic Stroke Treated With Theophylline as an Add-On to Thrombolytic Therapy: A Randomized Clinical Trial Subgroup Analysis.
  Modrau Boris et al. Frontiers in neurology 2021 12613029
• Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.
  Elul Yonatan et al. Proceedings of the National Academy of Sciences of the United States of America 2021 118(24)
• Clinical and genetic findings in patients with congenital cataract and heart diseases.
  Li Xinru et al. Orphanet journal of rare diseases 2021 16(1) 242
• Efficacy of PCSK9 inhibitors in the treatment of heterozygous familial hypercholesterolemia: A clinical practice experience.
  Alonso Rodrigo et al. Journal of clinical lipidology 2021
• Familial hypercholesterolemia related admission for acute coronary syndrome in the United States: Incidence, predictors, and outcomes.
  Kheiri Babikir et al. Journal of clinical lipidology 2021
• The yield of chromosomal microarray in pregnancies with congenital cardiac defects and normal NIPS.
  Sagi-Dain Lena et al. American journal of obstetrics and gynecology 2021

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