The International Symposium on Telemedicine Technology and Operation Innovation (ISTTOI 2024) andPostdoctoral Forum on Management Science and Engineering(PFMSE 2024) are scheduled to be held onDecember7-8, 2024.

The conference, themed "Telemedicine Empowered by AI "widely invites experts and scholars from around the world to deeply discuss how to fully use AI to improve the development of telemedicine.

This conference is guided by the Telemedicine Information Professional Committee of the Chinese Medical Information and Big Data Association and the Internet Health Care Industry Alliance. It is jointly organized by Zhengzhou University, the University of Sheffield in the UK, and the National Engineering Laboratory for Internet Medical Systems and Applications. The Henan Province International Joint Laboratory of Intelligent Health Information Systems and the School of Management at Zhengzhou University are in charge of hosting the event.

1.Organization

Guiding Units:Telemedicine Information Professional Committee of the Chinese Medical Information and big data Association, Internet Health Care Industry Alliance

Organizing Units:Zhengzhou University, University of Sheffield, National Engineering Laboratory for Internet Medical Systems and Applications

Hosting Units:Henan Province International Joint Laboratory of Intelligent Health Information Systems,School of Management at Zhengzhou University

Conference Chairs:

l Prof. Zhai Yunkai, Zhengzhou University

l Prof. Wang Yichuan, University of Sheffield

Program Committee Chair:Wang Yu, Zhengzhou University

2.Conference Date and Venue

Date:December7, 2024 (Saturday) -December8, 2024 (Sunday)

Venue: School of Management at Zhengzhou University, No 100, Science Avenue, Zhengzhou City, Henan Province, China.

3.Brief Conference Schedule

December7, 2024 (All day): Registration.

December8, 2024: Opening, Invited Reports, Group Discussions, Closing.

4.Distinguished Guests (Partial List)

Ø Vania Sena,Professor, the University of Shefield

Ø Efpraxia D. Zamani,Professor, the University of Shefield

Ø San Hlaing Myint, Professor, Pusan National University

Ø Behzad Behdani,Professor, University of South-Eastern Norway

Ø Mirela Panait, Professor, Petroleum-Gas University of Ploiesti

Ø Niu Ben, Professor, Shenzhen University

Ø Yan zhijun, Professor, Renmin University of China

Ø Zuo meiyun, Professor, Renmin University of China

Ø Yan Gang, Director, Health Information Center of Guizhou Province

Ø Chen Yubing, Associate Hospital Director, The First Affiliated Hospital of Jinan University

Ø Zhaojie,Professor, The First Affiliated Hospital of Zhengzhou University

Ø Liu Qingfeng, Associate Hospital Director, The People's Hospital of Liaoning Province

Ø Li Yong, Chief Physician, The First Affiliated Hospital of Xinjiang Medical University

Ø Huang Weihong, Professor, Xiangya Hospital of Central South University

Ø Zhang Xiyu,Professor-level Senior Engineer, Shandong Provincal Hospital

Ø ......

5.Conference Themes

The conference themes include but are not limited to the following topics:

Topic1: Telemedicine System Design Empowered by AI

The design of telemedicine systems based on artificial intelligence technology is a cutting-edge topic in the field of medical technology. With the rapid development of AI technology, telemedicine systems have shown great potential in improving the efficiency of medical services, reducing costs, and expanding the coverage of medical services. By integrating advanced machine learning algorithms and big data analysis, these systems can achieve real-time monitoring and analysis of patient health data, thereby providing doctors with more accurate diagnostic information and personalized treatment plans for patients. The relevant research directions include:

ØHealth Software Architecture Framework and Design

ØVirtual Health Assistants

ØMedical Imaging and Analysis

ØRemote Patient Monitoring

ØTraining and Education

Ø……

Topic2: Telemedicine Operation Optimization Empowered by AI

The integration of AI into telemedicine has significantly improved remote healthcare delivery. AI technologies enhance diagnostic accuracy by analyzing medical data, optimize resource allocation through predictive analytics, and personalize patient care based on individual data. AI-powered tools also automate routine tasks, allowing healthcare professionals to focus on complex cases. Overall, AI-driven telemedicine solutions enhance efficiency, accuracy, and patient outcomes of healthcare delivery. The relevant research directions include:

ØPersonalized Treatment Plans

ØPatient Medical Data Cloud and Grading Diagnosis

ØMedical Internet of Things

ØClinical Decision Support Systems

ØIntelligent Diagnosis and Treatment

Ø……

Topic3: Telemedicine Security Management Empowered by AI

Telemedicine security management with AI leverages advanced artificial intelligence techniques to enhance the safety and efficiency of remote medical services. By integrating AI, healthcare providers can detect and prevent potential security threats in real-time, ensuring the confidentiality, integrity, and availability of patient data. This approach streamlines security operations, reduces manual intervention, and improves overall patient care. The relevant research directions include:

Ø Medical Data Security

Ø Patient Data Privacy

Ø Insurance Big Data

Ø ……

6.Call for Papers

The conference is now soliciting papers around the conference themes. All papers will be peer-reviewed according to the international academic paper review process standards. Accepted papers will be published in a collection. Additionally, the conference will select outstanding papers for recommendation to SCI/SSCI journals for publication.

7.Registration for Participation

To provide more learning and exchange opportunities for scholars, there is no participation fee for this conference. Scholars are welcome to attend and provide guidance!

8.Important Dates

Submission Deadline:November15, 2024

Acceptance Deadline:November25, 2024

Registration Deadline:December 8, 2024

9.Contact Information

Email:ywang@zzu.edu.cn

Address: No. 100 Science Avenue, Zhengzhou City, Henan Province, China.

 

 

Henan Province International Joint Laboratory of Intelligent Health Information Systems

School of Management at Zhengzhou University

Sep 1, 2024