Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases

HIGHLIGHTS

• who: Chengdi Wang from the Published in partnership with Seoul National University Bundang Hospital have published the research work: Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases, in the Journal: (JOURNAL)
• what: In the context of precision medicine, the authors aimed at generating an AI-based automatic analysis pipeline to empower precise Table 1. abnormality identification and accurate disease diagnosis in the respiratory field. With relatively poor image_quality from another hospital, the model still has relatively good performance, suggesting that the model can still obtain a stably favorable . . .
  

   

  

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