Commentary
Open Access

Building the future of Alzheimer’s disease: an AI-driven metaverse from early diagnosis to personalized intervention

LIN Jixian
LIN Jixian
Department of Neurology, Central Hospital of Minhang District, Shanghai, Shanghia 201199
,
WANG Hua
WANG Hua
Department of Information, Central Hospital of Minhang District, Shanghai, Shanghai 201199
,
TANG Luojia
TANG Luojia
tang.luojia@zs-hospital.sh.cn
Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032; President’s Office, Central Hospital of Minhang District, Shanghai, Shanghai 201199
Author information
Article notes
Funding

LIN Jixian, Ph.D., Associate Chief Physician, E-mail: linjixian@fudan.edu.cn

Corresponding author, TANG Luojia, Tel: 021-64041990, E-mail: tang.luojia@zs-hospital.sh.cn

Received September 09, 2025; Accepted September 25, 2025; Published September 30, 2025
Supported by Minhang District medical prevention coordination and integration project (Construction of an Integrated Cognitive Health Assessment, Diagnosis, Treatment, and Research Platform for Medical-Preventive Fusion)
Commentary
Open Access
Building the future of Alzheimer’s disease: an AI-driven metaverse from early diagnosis to personalized intervention
LIN Jixian
LIN Jixian
Department of Neurology, Central Hospital of Minhang District, Shanghai, Shanghia 201199
,
WANG Hua
WANG Hua
Department of Information, Central Hospital of Minhang District, Shanghai, Shanghai 201199
,
TANG Luojia
TANG Luojia
tang.luojia@zs-hospital.sh.cn
Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032; President’s Office, Central Hospital of Minhang District, Shanghai, Shanghai 201199
Author information

LIN Jixian, Ph.D., Associate Chief Physician, E-mail: linjixian@fudan.edu.cn

Corresponding author, TANG Luojia, Tel: 021-64041990, E-mail: tang.luojia@zs-hospital.sh.cn

Article notes
Received September 09, 2025; Accepted September 25, 2025; Published September 30, 2025
Funding
Supported by Minhang District medical prevention coordination and integration project (Construction of an Integrated Cognitive Health Assessment, Diagnosis, Treatment, and Research Platform for Medical-Preventive Fusion)
PDF
On This Page
CITE
Accesses: 20

Abstract

Alzheimer’s disease (AD), as a major global public health crisis, faces multiple challenges including difficulties in early diagnosis, limited therapeutic options, and heavy caregiving burdens. The deep integration of artificial intelligence (AI) and metaverse technologies offers innovative solutions for comprehensive AD management. Immersive environments combined with AI analytics enable early screening and risk stratification; digital twins and adaptive algorithms facilitate personalized digital interventions that may slow disease progression; while immersive simulation training provides efficient support for caregivers and healthcare professionals, enhancing care quality and decision-making capacity. The AI-driven metaverse will reshape AD diagnosis, treatment, and caregiving systems, opening new pathways to overcome current obstacles.


Keywords: Alzheimer's disease; metaverse; artificial intelligence; digital therapy; digital twin

Metaverse in Medicine

ISSN: 3006-4236

Volume 2, Issue 3

September 2025

Pages: 1-64

PDF CITE Accesses: 20
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
On This Page
CITE
On This Page
Abstract