Digital Health Intervention to Promote Lifelong Specialized Care in Adults With Congenital Heart Disease: Theory-Driven Community Co-Designed Study - Top_Commentaries - MDSpire

Digital Health Intervention to Promote Lifelong Specialized Care in Adults With Congenital Heart Disease: Theory-Driven Community Co-Designed Study

  • By

  • Anushree Agarwal

  • Joseph Valente

  • Karina Buenrostro

  • Katelyn Macholl

  • Juhi Mehta

  • Keerthana Reddy

  • Karina Manayan

  • Parang Kim

  • Aleah Sparks

  • Kunyi Li

  • Pranav Ahuja

  • Kevin Sun

  • Kimberly Payton

  • Mark D Norris

  • Katia Bravo-Jaimes

  • Leigh Reardon

  • Philip Moons

  • Megumi J Okumura

  • Gregory M Marcus

  • Michelle Gurvitz

  • June 23, 2026

  • 0 min

Share

3 Topic Commentaries

Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning

  • Dr. Jane Smith, MD, Neurocritical Care Physician, MD

    Assistant Professor of Neurology

    •

    University Hospital of Critical Care Medicine

    “While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”

    [Source]
  • Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD

    Senior Research Fellow

    •

    Institute for Brain Health Research

    “In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”

    [Source]
  • Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH

    Public Health Policy Advisor

    •

    National Stroke & Infection Control Coalition

    “Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”

    [Source]

Original Source(s)

Digital Health Intervention to Promote Lifelong Specialized Care in Adults With Congenital Heart Disease: Theory-Driven Community Co-Designed Study

  • by Anushree Agarwal, Joseph Valente, Karina Buenrostro, Katelyn Macholl, Juhi Mehta, Keerthana Reddy, Karina Manayan, Parang Kim, Aleah Sparks, Kunyi Li, Pranav Ahuja, Kevin Sun, Kimberly Payton, Mark D Norris, Katia Bravo-Jaimes, Leigh Reardon, Philip Moons, Megumi J Okumura, Gregory M Marcus, Michelle Gurvitz

  • June 23, 2026

Related Content

Images in Vascular Medicine: When coronary anatomy goes the wrong way—A diagnostic challenge

Pathogenic mechanisms in Fabry disease

Model-guided medicine for early diagnosis of transthyretin-associated cardiac amyloidosis using multimodal data integration and standardized interoperable models (the CRONOS-ATTR study)