Bibliometric Analysis and Research Trends in Artificial Intelligence for Medical Imaging in Alzheimer's Disease

Purpose: To reveal the research hotspots and trends in Alzheimer's Disease medical imaging by bibliometric analysis of the literature on artificial intelligence in this field. Method: Publications on Artificial Intelligence in Alzheimer's Disease Medical Imaging were selected from SCIE and ESCI from January 01, 2015 to August 26, 2024. The Web of Science Core Collection database was utilized to provide an in-depth analysis of the relevant literature in terms of year of publication, author contributions, research institutions, country distribution, published journals, citations, and keywords through CiteSpace software. Results: (1) 197 publications were included after screening, with the United States and India contributing the most to the literature in this area (52 and 51, respectively). The institution with the highest contribution was Harvard University. (2) Among the research categories, Neurosciences, Clinical Neurology, Psychiatry, and Geriatrics Gerontology topped the list. (3) Artificial Intelligence in Alzheimer's Disease, Convolutional Neural Networks in Medical Imaging, Extracting Features for Medical Imaging, and SVM in Diagnosis of Alzheimer's Disease are hot topics in the field of Medical Imaging for Alzheimer's Disease. Conclusion: Deep Learning and Artificial Intelligence as present and future focus and research trends in medical imaging for Alzheimer's Disease.