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Article Synopsis
  • AI-based endoscopy, particularly cystoscopy, helps urologists identify cancerous areas effectively by using deep learning algorithms trained on large datasets of medical images.
  • A review of multiple databases found five studies that demonstrated AI's impressive sensitivity (0.953) and specificity (0.957) in detecting bladder cancer when compared to traditional histopathology.
  • While AI's application in bladder cancer detection shows promise, further research is needed to validate and enhance its effectiveness in clinical practice.
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