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Publication AI

The ADNI publication AI is a multi-lingual system capable of answering questions in multiple languages. Its responses are primarily based on information from ADNI publications.

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*This AI can be a helpful starting point, but it’s not perfect. The information provided by this Retrieval-Augmented Generation (RAG) system may be incomplete or limited in scope due to embargo restrictions on certain publications. These embargoes prevent access to data, research, or content that has not yet been officially released to the public or approved for distribution. As a result, the system’s knowledge base may lack the most recent updates, studies, or materials related to specific topics. Please double‑check any references, facts, or details before relying on them. The creators and operators of this AI system are not liable for any consequences, decisions, or actions taken based on its output. When in doubt, it’s always best to confirm things with authoritative sources.

Publication Search

ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.

6006 Total Publications

Year	Title	Author	Journal
2023	Multipredictor risk models for predicting individual risk of Alzheimer's disease	X. H. Hou; J. Suckling; X. N. Shen; Y. Liu; C. T. Zuo; Y. Y. Huang; H. Q. Li; H. F. Wang; C. C. Tan; M. Cui; Q. Dong; L. Tan; J. T. Yu; I. Alzheimer's Disease Neuroimaging	Journal J Transl Med;
2023	Improving Alzheimer’s Disease and Brain Tumor Detection Using Deep Learning with Particle Swarm Optimization	R. Ibrahim; R. Ghnemat; Q. Abu Al-Haija	Journal AI;
2023	A ready-to-use machine learning tool for symmetric multi-modality registration of brain MRI	J. E. Iglesias	Journal Scientific Reports;
2023	Exploratory correlation of the human structural connectome with non-MRI variables in Alzheimer's disease	I. Aganj; J. Mora; A. Frau-Pascual; B. Fischl	Journal Alzheimers Dement (Amst);
2023	Wide and deep learning based approaches for classification of Alzheimer's disease using genome-wide association studies	A. S. Alatrany; W. Khan; A. Hussain; D. Al-Jumeily	Journal PLoS One;
2023	An Experimental Study on Evaluating Alzheimer’s Disease Features using Data Mining Techniques	H. Albalawi	Journal Journal of Information & Knowledge Management;
2023	White matter hyperintensities influence distal cortical β-amyloid accumulation in default mode network pathways	D. G. Ali; A. A. Bahrani; R. H. El Khouli; B. T. Gold; Y. Jiang; V. Zachariou; D. M. Wilcock; G. A. Jicha	Journal Brain and Behavior;
2023	Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging	D. B. Archer; K. Schilling; N. Shashikumar; V. Jasodanand; E. E. Moore; K. R. Pechman; M. Bilgel; L. L. Beason‐Held; Y. An; A. Shafer; L. Ferrucci; S. L. Risacher; K. A. Gifford; B. A. Landman; A. L. Jefferson; A. J. Saykin; S. M. Resnick; T. J. Hohman	Journal Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring;
2023	Safety and tolerability of lumbar puncture for the evaluation of Alzheimer's disease	D. Baldaranov; V. Garcia; G. Miller; M. C. Donohue; L. M. Shaw; M. Weiner; R. C. Petersen; P. Aisen; R. Raman; M. S. Rafii	Journal Alzheimers Dement (Amst);
2023	Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse	S. Bottani; N. Burgos; A. Maire; D. Saracino; S. Ströer; D. Dormont; O. Colliot; I. Alzheimers Dis Neuroimaging; A. S. Grp	Journal MEDICAL IMAGE ANALYSIS;

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