Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network: A multicentre, retrospective cohort study

Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study

“…Our study had several notable advantages compared to previous studies, such as US-based deep learning analysis on HER2+ subtype, or radiomics analysis on mammograms. 31 , 48 First, our study constructed MRI-based ensemble learning models to predict pCR based on molecular subtypes. In contrast, previous studies only used conventional clinical and radiologic characteristics and did not perform precise subtypes analysis, or only used radiomics method.…”

“…Radiomics and deep learning are emerging interdisciplinary combining medical imaging and the computer field, which extracts lots of quantitative information from medical images and shows great potential to assist in clinical diagnosis and treatment. 27 , 28 , 29 , 30 , 31 In 2019, we reported a MRI-based radiomics model to predict pCR in breast cancer, and the RMM model had excellent performances with AUCs of 0.71–0.80 in multicenter validation. 13 However, breast tumors are spatially and temporally heterogeneous in different molecular subtypes, which results in diverse imaging-derived characteristics.…”

Multimodal data integration using machine learning to predict the risk of clear cell renal cancer metastasis: A retrospective multicentre study

“…Thus, it is crucial to develop accurate methods for predicting the risk of metastasis in patients, strengthen the active monitoring by physicians, and promptly intervene in patient treatment when necessary. Radiomics is a technique that converts medical images into high-throughput data, which can be used to provide valuable insights into the diagnosis, prognosis, staging, and treatment responses of cancer patients [28][29][30][31] . Radiomics has demonstrated outstanding performance in these areas.…”

Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study

“…And DL-based diagnostic platforms are becoming more common. 20 , 21 It has shown the crucial role of DL-based system in classifying benign and malignant breast images. 22 …”