Search
About ZENTIME
ZENTIME
Policies
Contact Us
Journal List
News
Submit Your Article
About this Journal
Aims and Scope
Journal Information
Journal Policies
Contact Us
Articles
Latest Issue
All Issues
For Authors
Author Guidelines
Article Processing Charge
Editorial Board
Join Us
Submit a Manuscript
About this Journal
Aims and Scope Journal Information Journal Policies Contact Us
Articles
Latest Issue All Issues
For Authors
Author Guidelines Article Processing Charge
Editorial Board
Join Us
Submit a Manuscript
Home Metaverse in Medicine Volume 2, 2025 Volume 2, Issue 2 Integration of IUR
Integration of IUR
Open Access
Published June 30, 2025
https://doi.org/10.61189/249357scovkn

Improving early detection of obstructive sleep apnea and pulmonary nodules through artificial intelligence and medical meta-cosmology

LIU Huayi
LIU Huayi
School of Life Sciences, Fudan University, Shanghai 200438, China
,
CHEN Siyuan
CHEN Siyuan
School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
,
XIONG Yantao
XIONG Yantao
School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
,
SUN Pengzhou
SUN Pengzhou
School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
,
WANG Yuan
WANG Yuan
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
YANG Dawei
YANG Dawei
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Research Center for Respiratory Internet of things medical engineering technology, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China
,
BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Research Center for Respiratory Internet of things medical engineering technology, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China
Author information
Article notes
Funding

LIU Huayi. E-mail：23307110234@m.fudan.edu.cn

Corresponding author. BAI Chunxue. Tel: 021-64041990, E-mail: bai.chunxue@zs-hospital.sh.cn

Received May 14, 2025; Accepted June 25, 2025; Published June 30, 2025
Supported by Four Major Chronic Diseases National Science and Technology Major Project （2024ZD0529300） and Fund of Shanghai Science and Technology Commission Project （20DZ2254400， 21DZ2200600）
Previous Article Next Article
Integration of IUR
Open Access
Improving early detection of obstructive sleep apnea and pulmonary nodules through artificial intelligence and medical meta-cosmology
LIU Huayi
LIU Huayi
School of Life Sciences, Fudan University, Shanghai 200438, China
,
CHEN Siyuan
CHEN Siyuan
School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
,
XIONG Yantao
XIONG Yantao
School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
,
SUN Pengzhou
SUN Pengzhou
School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
,
WANG Yuan
WANG Yuan
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
YANG Dawei
YANG Dawei
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Research Center for Respiratory Internet of things medical engineering technology, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China
,
BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Research Center for Respiratory Internet of things medical engineering technology, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China
Author information

LIU Huayi. E-mail：23307110234@m.fudan.edu.cn

Corresponding author. BAI Chunxue. Tel: 021-64041990, E-mail: bai.chunxue@zs-hospital.sh.cn

Article notes
Received May 14, 2025; Accepted June 25, 2025; Published June 30, 2025
Funding
Supported by Four Major Chronic Diseases National Science and Technology Major Project （2024ZD0529300） and Fund of Shanghai Science and Technology Commission Project （20DZ2254400， 21DZ2200600）
Published June 30, 2025
doi:https://doi.org/10.61189/249357scovkn
PDF
On This Page
CITE
Accesses: 10
Previous Article Next Article

Abstract

This paper introduces BAIMGPT 1.0, an AI-powered medical metaverse platform, to democratize early diagnosis of obstructive sleep apnea (OSA) and pulmonary nodules. By integrating virtual care, federated learning, and IoT diagnostics, the platform addresses healthcare disparities in underserved regions while mitigating algorithmic bias and privacy risks through decentralized frameworks. BAIMGPT 1.0 exemplifies a scalable model for equitable chronic disease management, prioritizing inclusivity and ethical AI-metaverse synergy to redefine global healthcare delivery.


Key Words: BAIMGPT 1.0; obstructive sleep apnea; pulmonary nodules; metaverse

Latest Issue
Pulmonary nodule intelligent agent: from auxiliary diagnostic tools to a new paradigm of intelligent agent medicine - also discussing the formation of the discipline system of intelligent agent medicine Progress and prospects of AI intelligent agents empowering the diagnosis and treatment of pulmonary nodules Respiratory internet of things-driven precision monitoring and closed-loop management: asthma care from ward to home The potential and prospects of AI empowering grassroots doctors in case analysis and reporting Intelligent agent empowers correction of pathologically overlooked early lung cancer cases in nodule reporting Digital humans, virtual experts, and patient education and management: a new model for respiratory health communication Metaverse medicine and innovation in respiratory education: from the classroom to immersive clinical training Current applications and development strategies of metaverse innovation models in otolaryngology clinical practice and education Design concept for a neurology metaverse teaching system based on the Fudan Zhongshan "huisheng intelligent education" platform A conceptual framework for constructing an innovative teaching module for traditional chinese medicine inheritance in a collaborative "flagship" hospital integrating chinese and western medicine based on the "huisheng intelligent education" metaverse platform
Metaverse in Medicine

ISSN: 3006-4236

Volume 2, Issue 2

June 2025

Pages: 1-64

PDF CITE Accesses: 10
On This Page
Latest Issue
Abstract
Pulmonary nodule intelligent agent: from auxiliary diagnostic tools to a new paradigm of intelligent agent medicine - also discussing the formation of the discipline system of intelligent agent medicine Progress and prospects of AI intelligent agents empowering the diagnosis and treatment of pulmonary nodules Respiratory internet of things-driven precision monitoring and closed-loop management: asthma care from ward to home The potential and prospects of AI empowering grassroots doctors in case analysis and reporting Intelligent agent empowers correction of pathologically overlooked early lung cancer cases in nodule reporting Digital humans, virtual experts, and patient education and management: a new model for respiratory health communication Metaverse medicine and innovation in respiratory education: from the classroom to immersive clinical training Current applications and development strategies of metaverse innovation models in otolaryngology clinical practice and education Design concept for a neurology metaverse teaching system based on the Fudan Zhongshan "huisheng intelligent education" platform A conceptual framework for constructing an innovative teaching module for traditional chinese medicine inheritance in a collaborative "flagship" hospital integrating chinese and western medicine based on the "huisheng intelligent education" metaverse platform
Cite this article
Copy
Endnote
BibTeX
RefMan
NoteFirst
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
On This Page
CITE
On This Page
Abstract