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Artificial Intelligence Modeling and Priapism.

Edoardo PozziPaulo Vitor Barreto GuimaraesAlexandra Aponte VarnumBruce R KavaRanjith Ramasamy
Published in: Current urology reports (2024)
Recent advancements in AI offer promising solutions to face the challenges in diagnosing and treating priapism. AI models have demonstrated the potential to predict the need for surgical intervention and improve diagnostic accuracy. The integration of AI models into medical decision-making for priapism can also predict long-term consequences. AI is currently being implemented in urology to enhance diagnostics and treatment work-up for various conditions, including priapism. Traditional diagnostic approaches rely heavily on assessments based on history, leading to potential delays in treatment with possible long-term sequelae. To date, the role of AI in the management of priapism is understudied, yet to achieve dependable and effective models that can reliably assist physicians in making decisions regarding both diagnostic and treatment strategies.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • primary care
  • randomized controlled trial
  • healthcare