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From Diagnosis to Precision Surgery: The Transformative Role of Artificial Intelligence in Urologic Imaging

Labeeqa Khizir, Vineet Bhandari, Srivarsha Kaloth, John Pfail, Benjamin Lichtbroun, Naveena Yanamala, Sammy Elsamra

Year
2024
Citations
12

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.

Keywords

MedicineNephrectomyMedical physicsModalitiesProstatectomyMedical imagingArtificial intelligenceMagnetic resonance imagingImage-guided surgeryModality (human–computer interaction)

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