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From Diagnosis to Precision Surgery: The Transformative Role of Artificial Intelligence in Urologic Imaging.
Khizir, Labeeqa; Bhandari, Vineet; Kaloth, Srivarsha; Pfail, John; Lichtbroun, Benjamin; Yanamala, Naveena; Elsamra, Sammy E.
Afiliación
  • Khizir L; Division of Urology, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
  • Bhandari V; New Jersey Medical School, Newark, New Jersey, USA.
  • Kaloth S; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
  • Pfail J; Division of Urology, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
  • Lichtbroun B; Division of Urology, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
  • Yanamala N; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
  • Elsamra SE; Division of Urology, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
J Endourol ; 2024 Jul 08.
Article en En | MEDLINE | ID: mdl-38888003
ABSTRACT
The multidisciplinary nature of artificial intelligence (AI) has allowed for rapid growth of its application in medical imaging. Artificial intelligence algorithms can augment various imaging modalities, such as X-rays, CT, and MRI, to improve image quality and generate high-resolution three-dimensional images. AI reconstruction of three-dimensional models of patient anatomy from CT or MRI scans can better enable urologists to visualize structures and accurately plan surgical approaches. AI can also be optimized to create virtual reality simulations of surgical procedures based on patient-specific data, giving urologists more hands-on experience and preparation. Recent development of artificial intelligence modalities, such as TeraRecon and Ceevra, offer rapid and efficient medical imaging analyses aimed at enhancing the provision of urologic care, notably for intraoperative guidance during robot-assisted radical prostatectomy (RARP) and partial nephrectomy.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Endourol Asunto de la revista: UROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Endourol Asunto de la revista: UROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos