@inproceedings{0a4b7aab2e574852a7651ff87602ed37,
title = "Cognitive Impairment Prediction by Normal Cognitive Brain MRI Scans Using Deep Learning",
abstract = "Alzheimer{\textquoteright}s disease is a neurodegenerative disease without a cure and is one of the leading causes of death across the world. The early detection of cognitive impairment could prove crucial for reducing the occurrence of Alzheimer{\textquoteright}s disease in the future. Significant research into detecting the disease from MRI images has already been performed and has produced encouraging results. However, there has been very limited work on predicting conversion from normal cognition to cognitive impairment. This study is aimed at producing a deep learning model to predict whether a subject will remain cognitively normal or progress to a state of cognitive impairment in the future. We found that the use of a patch-based approach combined with pre-trained ResNet-50 model using 3D MRI scans provide better results as compared to equivalent whole brain voxel-based approach and other state-of-the-art CNN models. Our proposed model achieved an accuracy of 90% and an area under the receiver operating characteristic curve of 0.99, which are better than the existing state-of-the-art results.",
keywords = "Alzheimer{\textquoteright}s, CNN, Cognition prediction, Deep learning, MRI",
author = "Justin Bardwell and Hassan, {Ghulam Mubashar} and Farzaneh Salami and Naveed Akhtar",
note = "Funding Information: Data was provided by OASIS-3: Principal Investigators: T. Benzinger, D. Marcus, J. Morris; NIH P50 AG00561, P30 NS09857781, P01 AG026276, P01 AG003991, R01 AG043434, UL1 TR000448, R01 EB009352. AV-45 doses were provided by Avid Radiopharmaceuticals, a wholly owned subsidiary of Eli Lilly. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 35th Australasian Joint Conference on Artificial Intelligence, AI 2022 ; Conference date: 05-12-2022 Through 09-12-2022",
year = "2022",
doi = "10.1007/978-3-031-22695-3_40",
language = "English",
isbn = "9783031226946",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science + Business Media",
pages = "571--584",
editor = "Haris Aziz and D{\'e}bora Corr{\^e}a and Tim French",
booktitle = "AI 2022",
address = "United States",
}