Artificial intelligence is transforming medical research and health care, with transformers playing a crucial role in advancing medical data analysis. Originally developed for natural language processing, transformers have successfully applied their self-attention mechanism to image and biological sequence analysis. However, their use in the medical field faces challenges such as data quality, interpretability, ethical issues, and resource demands.
Read the article: PubMed · Publisher (DOI)