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Computational platform for doctor-artificial intelligence cooperation in pulmonary arterial hypertension prognostication: a pilot study.

Vitaly O KheyfetsAndrew J SweattMardi Gomberg-MaitlandDunbar D IvyRobin CondliffeDavid G KielyAllan LawrieBradley A MaronRoham T ZamanianKurt R Stenmark
Published in: ERJ open research (2023)
These results stress the need for advancing individualised phenotyping strategies that integrate clinical and biochemical data with outcome. The computational platform presented in this study offers a critical step towards personalised medicine in which a clinician can interpret an algorithm's assessment of an individual patient.
Keyphrases
  • artificial intelligence
  • pulmonary arterial hypertension
  • machine learning
  • big data
  • deep learning
  • high throughput
  • pulmonary artery
  • pulmonary hypertension
  • case report
  • coronary artery
  • single cell