Artificial Intelligence for Dementia Research Methods Optimization
Published in Alzheimer's & Dementia, vol 19, issue 12., 2023
Recommended citation: Bucholc, M., James, C., Khleifat, A.A., Badhwar, A., Clarke, N., Dehsarvi, A., Madan, C.R., Marzi, S.J., Shand, C., Schilder, B.M., Tamburin, S., Tantiangco, H.M., Deep Dementia Phenotyping (DEMON) Network, Lourida, I., Llewellyn, D.J., Ranson, J.M. (2023). Artificial Intelligence for Dementia Research Methods Optimization. Alzheimers Dement. 19(12): 5934-5951. doi: 10.1002/alz.13441. https://doi.org/10.1002/alz.13441
This paper discusses the application of artificial intelligence in optimizing research methods for dementia studies. The research, conducted by the Deep Dementia Phenotyping (DEMON) Network, provides insights into how AI can enhance the accuracy and efficiency of dementia research, paving the way for improved diagnostic and therapeutic strategies.
Recommended citation: Bucholc, M., James, C., Khleifat, A.A., Badhwar, A., Clarke, N., Dehsarvi, A., Madan, C.R., Marzi, S.J., Shand, C., Schilder, B.M., Tamburin, S., Tantiangco, H.M., Deep Dementia Phenotyping (DEMON) Network, Lourida, I., Llewellyn, D.J., Ranson, J.M. (2023). Artificial Intelligence for Dementia Research Methods Optimization. Alzheimers Dement. 19(12): 5934-5951. doi: 10.1002/alz.13441.