Research map: How should patient knowledge trigger clinical action in artificial intelligence-enabled pulmonary hypertension care?

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Papers in this map

  1. Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda · Enola K. Proctor · 2010 · 9353 citations · Cited by this paper
  2. Beyond Risk Scores: Translating PAH Risk Assessment into Clinical Benefit. Comment on Cortes-Telles et al. Sequential Add-On Therapy Modifies Mortality Risk Stratification in Group 1.4 Pulmonary Arterial Hypertension: A Real-World, Single-Center Retrospective Cohort Study from Mexico. J. Clin. Med. 2026, 15, 4924 · Ilma Nascimento · 2026 · Cites this paper
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  4. Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies · Trisha Greenhalgh · 2017 · 3050 citations · Cited by this paper
  5. Development and validation of clinical prediction models for personalized renal function monitoring in people with heart failure in primary care: the RENAL-HF study protocol · 2026 · Related
  6. The Cambridge Pulmonary Hypertension Outcome Review (CAMPHOR): A Measure of Health-Related Quality of Life and Quality of Life for Patients with Pulmonary Hypertension · Stephen Patrick McKenna · 2006 · 292 citations · Cited by this paper
  7. Large language model–based simulated patient training for heart failure palliative care communication: a pilot study · 2026 · Related
  8. emPHasis-10: development of a health-related quality of life measure in pulmonary hypertension · Janelle Yorke · 2013 · 192 citations · Cited by this paper
  9. Cardiology hospital admission risk prediction: training, internal validation and technical implementation in the electronic health record · 2026 · Related
  10. The ethical application of artificial intelligence in digital health: patients' knowledge, pulmonary hypertension, and the problem of misrecognition · Iain J. Armstrong · 2026 · 1 citation · Cited by this paper
  11. Smarter FoCUS: AI-guided focused cardiac ultrasound enables novice detection of left ventricular dysfunction · 2026 · Related
  12. Artificial intelligence in breaking the learning curve for echocardiography: a secondary analysis of a multicentre trial · 2026 · Related
  13. Developing and validating an artificial intelligence-based electronic triage model for predicting clinical outcomes among cardiac-suspected patients in the emergency department · 2026 · Related
  14. Retinal photographs to predict life’s essential 8 for cardiovascular risk stratification: a novel deep-learning-based tool · 2026 · Related
  15. Comparative evaluation of AI-assisted literature search tools for identifying clinically meaningful evidence in cardiology · 2026 · Related

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