In 2017, the emergence of the Transformer model pressed the "accelerator button" in the field of artificial intelligence. This model did not appear out of nowhere; it was an inevitable product of deep ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

In a paper published in National Science Review, a team of Chinese scientists developed an attention-based deep learning model, CGMformer, pretrained on a well-controlled and diverse corpus of ...