医学
肾切除术
医学物理学
模式
前列腺切除术
医学影像学
人工智能
磁共振成像
影像引导手术
模态(人机交互)
放射科
计算机科学
前列腺
内科学
内分泌学
社会学
癌症
肾
社会科学
作者
Labeeqa Khizir,Vineet Bhandari,Srivarsha Kaloth,John Pfail,Benjamin Lichtbroun,Naveena Yanamala,Sammy Elsamra
标识
DOI:10.1089/end.2023.0695
摘要
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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