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.
Keyphrases
- artificial intelligence
- high resolution
- deep learning
- machine learning
- big data
- image quality
- computed tomography
- contrast enhanced
- radical prostatectomy
- prostate cancer
- robot assisted
- healthcare
- magnetic resonance imaging
- minimally invasive
- dual energy
- virtual reality
- mass spectrometry
- convolutional neural network
- positron emission tomography
- quality improvement
- pain management
- molecular dynamics
- atrial fibrillation
- patients undergoing
- coronary artery bypass
- pet ct