Publications by authors named "Nurit Devir"

Context: Prediction of AH is frequently undertaken in the clinical setting. The commonly used methods are based on the assessment of skeletal maturation. Predictive algorithms generated by machine learning, which can already automatically drive cars and recognize spoken language, are the keys to unlocking data that can precisely inform the pediatrician for real-time decision making.

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Synopsis of recent research by authors named "Nurit Devir"

  • - Nurit Devir's research primarily focuses on the application of machine learning techniques in clinical contexts, specifically for predicting adult height (AH) in pediatric patients.
  • - In her 2021 article, she discusses the limitations of traditional methods based on skeletal maturation assessment and emphasizes the potential of predictive algorithms to enhance decision-making for pediatricians.
  • - Devir's work highlights the transformative potential of AI in medicine, suggesting that advanced predictive models can lead to more accurate and timely interventions in pediatric care.