Multimodal Neuroimaging, and QML for Alzheimer’s

Here, ChemicalQDevice discusses History of Artificial Intelligence in medicine, and Two articles regarding Multimodal Neuroimaging advantages. In addition, the likely Industry strategy of "Performance vs. Portability" to obtain high quality Neuroimages in keeping balance with reduced device size and standoff distance based on prospective quantum technologies by Medical Imaging Leaders will also be discussed. (1-5)

There will also be a focus on how ChemicalQDevice Quantum Machine Learning (QML) Stage I/II forecasted algorithms may be used in Industry - with potential opportunities for standards, protocols, and competitive advantage.

Kaul, V., et al. 2020 "History of artificial intelligence in medicine" GIE. Excerpt: "Artificial intelligence (AI) was first described in 1950; however, several limitations in early models prevented widespread acceptance and application to medicine. In the early 2000s, many of these limitations were overcome by the advent of deep learning." (6)

Zhang, Y-D., et al. 2020 "Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation" Elsevier. Excerpt: "Neuroimaging fusion can achieve higher temporal and spatial resolution, enhance contrast, correct imaging distortions, and bridge physiological and cognitive information. In this study, we analyzed over 450 references from PubMed, Google Scholar, IEEE, ScienceDirect, Web of Science, and various sources published from 1978 to 2020." (7)

Ismail, W.N., et al. 2022 "MULTforAD: Multimodal MRI Neuroimaging for Alzheimer’s Disease Detection Based on a 3D Convolution Model" MDPI. Excerpt: "The current study uses three datasets [ADNI, Kaggle, and OASIS] to consider multimodal features from MRI neuroimaging for different cohorts." (8)

Definition: Multimodal neuroimaging combines data obtained from multiple neuroimaging techniques, such as EEG and fMRI, and yields more detailed information about brain dynamics. (9)

Additional References: Center for Multimodal Neuroimaging (10); PET/MRI Stanford Health Care (11); Multimodal neuroimaging of a child (12)

References:

National Institute of Standards and Technology (NIST), The National Institutes of Health, Fermilab, Nature Portfolio, Stanford Health Care, Rigetti Computing, Strangeworks, Roche, QC Ware Corp.

Enjoy the New Year,
CEO Kevin Kawchak
January 8, 2023
ChemicalQDevice