1
|
An X, He J, Bi B, Wu G, Xu J, Yu W, Ren Z. The application of artificial intelligence in diagnosis of Alzheimer's disease: a bibliometric analysis. Front Neurol 2024; 15:1510729. [PMID: 39703357 PMCID: PMC11655329 DOI: 10.3389/fneur.2024.1510729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 11/20/2024] [Indexed: 12/21/2024] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder that severely impacts cognitive function, posing significant physical and psychological burdens on patients and substantial economic challenges to families and society, particularly in aging populations where its prevalence is rising. Current diagnostic and therapeutic strategies, including pharmacological treatments and non-pharmacological interventions, exhibit considerable limitations in early diagnosis, etiological treatment, and disease management. This study aims to investigate the application of artificial intelligence (AI) in the early diagnosis and progression monitoring of AD through a bibliometric analysis of relevant literature. A systematic search in the Web of Science Core Collection identified 530 publications related to AI and AD, consisting of 361 original research articles and 169 review articles, with a notable increase in annual publication rates, particularly between 2019 and 2024. The United States and China emerged as leading contributors, emphasizing the importance of international collaboration. Institutional analysis revealed that Harvard University and Indiana University System are at the forefront, highlighting the role of academic institutions in fostering interdisciplinary research. Furthermore, the Journal of Alzheimer's Disease was identified as the most influential publication outlet. Key highly cited papers provided essential theoretical foundations for ongoing research. This study underscores the growing relevance of AI in AD research and suggests promising avenues for future investigations, particularly in enhancing diagnostic accuracy and therapeutic strategies through advanced data analytics and machine learning techniques.
Collapse
Affiliation(s)
- Xiaoqiong An
- Department of Laboratory Medicine, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Jun He
- Department of Laboratory Medicine, The Second People's Hospital of Guizhou Province, Guiyang, China
- Guizhou Provincial Center for Clinical Laboratory, Guiyang, China
| | - Bin Bi
- Psychosomatic Department, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Gang Wu
- Psychosomatic Department, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Jianwei Xu
- Center for Tissue Engineering and Stem Cell Research, Guizhou Medical University, Guiyang, China
- Department of Pharmacology, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - Wenfeng Yu
- Key Laboratory of Molecular Biology, Guizhou Medical University, Guiyang, China
- Key Laboratory of Human Brain Bank for Functions and Diseases of Department of Education of Guizhou Province, Guizhou Medical University, Guiyang, China
| | - Zhenkui Ren
- Department of Laboratory Medicine, The Second People's Hospital of Guizhou Province, Guiyang, China
- Laboratory Department of People’s Hospital of Southwest Guizhou Autonomous Prefecture, Xingyi, China
| |
Collapse
|
3
|
Dyer AH, Dolphin H, O'Connor A, Morrison L, Sedgwick G, McFeely A, Killeen E, Gallagher C, Davey N, Connolly E, Lyons S, Young C, Gaffney C, Ennis R, McHale C, Joseph J, Knight G, Kelly E, O'Farrelly C, Bourke NM, Fallon A, O'Dowd S, Kennelly SP. Protocol for the Tallaght University Hospital Institute for Memory and Cognition-Biobank for Research in Ageing and Neurodegeneration. BMJ Open 2023; 13:e077772. [PMID: 38070888 PMCID: PMC10729202 DOI: 10.1136/bmjopen-2023-077772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/13/2023] [Indexed: 12/18/2023] Open
Abstract
INTRODUCTION Alzheimer's disease and other dementias affect >50 million individuals globally and are characterised by broad clinical and biological heterogeneity. Cohort and biobank studies have played a critical role in advancing the understanding of disease pathophysiology and in identifying novel diagnostic and treatment approaches. However, further discovery and validation cohorts are required to clarify the real-world utility of new biomarkers, facilitate research into the development of novel therapies and advance our understanding of the clinical heterogeneity and pathobiology of neurodegenerative diseases. METHODS AND ANALYSIS The Tallaght University Hospital Institute for Memory and Cognition Biobank for Research in Ageing and Neurodegeneration (TIMC-BRAiN) will recruit 1000 individuals over 5 years. Participants, who are undergoing diagnostic workup in the TIMC Memory Assessment and Support Service (TIMC-MASS), will opt to donate clinical data and biological samples to a biobank. All participants will complete a detailed clinical, neuropsychological and dementia severity assessment (including Addenbrooke's Cognitive Assessment, Repeatable Battery for Assessment of Neuropsychological Status, Clinical Dementia Rating Scale). Participants undergoing venepuncture/lumbar puncture as part of the clinical workup will be offered the opportunity to donate additional blood (serum/plasma/whole blood) and cerebrospinal fluid samples for longitudinal storage in the TIMC-BRAiN biobank. Participants are followed at 18-month intervals for repeat clinical and cognitive assessments. Anonymised clinical data and biological samples will be stored securely in a central repository and used to facilitate future studies concerned with advancing the diagnosis and treatment of neurodegenerative diseases. ETHICS AND DISSEMINATION Ethical approval has been granted by the St. James's Hospital/Tallaght University Hospital Joint Research Ethics Committee (Project ID: 2159), which operates in compliance with the European Communities (Clinical Trials on Medicinal Products for Human Use) Regulations 2004 and ICH Good Clinical Practice Guidelines. Findings using TIMC-BRAiN will be published in a timely and open-access fashion.
Collapse
Affiliation(s)
- Adam H Dyer
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Helena Dolphin
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Laura Morrison
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Gavin Sedgwick
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Aoife McFeely
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Emily Killeen
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Conal Gallagher
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Naomi Davey
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Eimear Connolly
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Shane Lyons
- Department of Neurology, Tallaght University Hospital, Dublin, Ireland
| | - Conor Young
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Christine Gaffney
- Department of Neurology, Tallaght University Hospital, Dublin, Ireland
| | - Ruth Ennis
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Cathy McHale
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Jasmine Joseph
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Graham Knight
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | - Emmet Kelly
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
| | | | - Nollaig M Bourke
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Aoife Fallon
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Sean O'Dowd
- Department of Neurology, Tallaght University Hospital, Dublin, Ireland
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
| | - Sean P Kennelly
- Institute of Memory and Cognition, Tallaght University Hospital, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| |
Collapse
|