Artificial intelligence (AI) is becoming increasingly relevant to assist with oncology imaging, but diagnosing rare tumours remains challenging. Here, the authors develop an AI approach to detect rare thyroid cancer subtypes by integrating clinical knowledge with image generation based on ultrasound imaging data from large patient cohorts.
- Fang Dai
- Siqiong Yao
- Hui Lu
