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Last Posted: May 31, 2023

• Designing a Dyad-Based Digital Health Intervention to Reduce Sedentary Time in Black Breast Cancer Survivors and Their First-degree Relatives: Human-Centered Design Study.
  Meghan Blazey et al. JMIR Form Res 2023 7e43592
• Meta-analysis of the diagnostic and clinical utility of exome and genome sequencing in pediatric and adult patients with rare diseases across diverse populations.
  Claudia Ching Yan Chung et al. Genet Med 2023 100896
• Early mortality in patients with cancer treated with immune checkpoint inhibitors in routine practice.
  Jacques Raphael et al. J Natl Cancer Inst 2023
• Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease.
  Jonathan Y Lam et al. AMIA Annu Symp Proc 2023 2022653-661
• Cardiovascular Disease Risk Assessment Using Traditional Risk Factors and Polygenic Risk Scores in the Million Veteran Program.
  Jason L Vassy et al. JAMA Cardiol 2023
• Implementation of Newborn Screening for Conditions in the United States First Recommended during 2010-2018.
  Sikha Singh et al. Int J Neonatal Screen 9(2)
• Modelling 30-day hospital readmission after discharge for COPD patients based on electronic health records.
  Meng Li et al. NPJ Prim Care Respir Med 2023 33(1) 16
• Using Recurrent Neural Networks to Extract High-Quality Information From Lung Cancer Screening Computerized Tomography Reports for Inter-Radiologist Audit and Feedback Quality Improvement.
  Yucheng Zhang et al. JCO clinical cancer informatics 2023 7e2200153
• Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness.
  Bernard Hernandez et al. Frontiers in digital health 2023 51057467
• A systematic review of federated learning applications for biomedical data.
  Matthew G Crowson et al. PLOS digital health 2023 1(5) e0000033
• Internet of things-Enabled technologies as an intervention for childhood obesity: A systematic review.
  Ching Lam et al. PLOS digital health 2023 1(4) e0000024
• Artificial intelligence and the potential for perioperative delabeling of penicillin allergies for neurosurgery inpatients.
  Melinda Jiang et al. British journal of neurosurgery 2023 1-4
• Disease severity classification using passively collected smartphone-based keystroke dynamics within multiple sclerosis.
  Aleide Hoeijmakers et al. Scientific reports 2023 13(1) 1871
• Germline genetic mutations in pediatric cerebrovascular anomalies: a multidisciplinary approach to screening, testing, and management.
  Melissa A LoPresti et al. Journal of neurosurgery. Pediatrics 2023 1-9
• Persistent mutation burden drives sustained anti-tumor immune responses.
  Noushin Niknafs et al. Nature medicine 2023
• A Hybrid System of Braden Scale and Machine Learning to Predict Hospital-Acquired Pressure Injuries (Bedsores): A Retrospective Observational Cohort Study.
  Dweekat Odai Y et al. Diagnostics (Basel, Switzerland) 2023 13(1)
• An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur.
  Dweekat Odai Y et al. International journal of environmental research and public health 2023 20(1)
• Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review.
  Dweekat Odai Y et al. International journal of environmental research and public health 2023 20(1)
• Prediction of extubation failure among low birthweight neonates using machine learning.
  Natarajan Annamalai et al. Journal of perinatology : official journal of the California Perinatal Association 2023
• Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy.
  Alam Minhaj et al. Journal of clinical medicine 2023 12(1)

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