Enhancing Healthcare User Interfaces Through Large Language Models Within the Adaptive User Interface Framework

Author:

Ghosh Akash,Huang Bo,Yan Yan,Lin Wenjun

Publisher

Springer Nature Singapore

Reference18 articles.

1. Betancourt J, Green A, Carillo JE (2000) The challenges of cross-cultural healthcare-diversity, ethics, and the medical encounter. In: Bioethics Forum, vol 16. Midwest Bioethics Center, pp. 27–32

2. Chintagunta B, Katariya N, Amatriain X, Kannan A (2021) Medically aware gpt-3 as a data generator for medical dialogue summarization. In: Machine learning for healthcare conference. PMLR, pp 354–372

3. Fitzpatrick KM, Ody M, Goveas D, Montesanti S, Campbell P, MacDonald K, Crowshoe L, Campbell S, Roach P (2023) Understanding virtual primary healthcare with indigenous populations: a rapid evidence review. BMC Health Serv Res 23(1):1–13

4. Ghatkamble R, Pareek PK, Parameshachari B (2022) Design of NBW-mho with Bert model for prediction of breast cancer in IoT healthcare system. In: 2022 Fourth international conference on emerging research in electronics, computer science and technology (ICERECT). IEEE, pp 1–8

5. Ghosh A, Yan Y, Lin W (2023) Adaptive user interface framework powered by a large language model for culturally sensitive virtual healthcare applications. In: IEEE international conference on biomedical and health informatics (BHI’23). Pittsburgh, Pennsylvania, United States of America

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