Wen-Zhi Lv

TL;DR: Chest CT has a high sensitivity for diagnosis of CO VID-19 and may be considered as a primary tool for the current COVID-19 detection in epidemic areas, as well as for patients with multiple RT-PCR assays.

TL;DR: In this paper, the authors developed and validated a deep learning radiomic nomogram (DLRN) for pre-operatively assessing breast cancer pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) based on the pre- and post-treatment ultrasound.

TL;DR: Temporal changes of chest CT features and severity scores could be valuable for early identification of severe cases and eventually reducing the mortality rate of COVID-19 patients.

TL;DR: A multi-enter retrospective study shows that DCNN derived from pretreatment ultrasound imagine improves the prediction of breast cancer molecular subtypes and management of patients becomes more precise based on the DCNN model.

TL;DR: In this paper, the background of AI and its application in breast medical imaging (mammography, ultrasound and MRI), such as in the identification, segmentation and classification of lesions; breast density assessment; and breast cancer risk assessment.