THE FIRST AFFILIATED HOSPITAL,ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE

Program Overview

1. Background:

Ø The integration of artificial intelligence (AI) into medicine is transforming healthcare delivery, enhancing diagnostic accuracy, and improving patient outcomes. As AI technologies continue to evolve, it is crucial for healthcare professionals to understand their historical context, current applications, and future potential. This program aims to equip participants with the knowledge and skills necessary to navigate the rapidly changing landscape of AI in healthcare.

2. Purpose:

Ø The primary goal of this program is to provide a comprehensive overview of AI applications in medicine, fostering a deeper understanding among participants. We aim to cultivate a positive attitude towards the integration of AI in healthcare, emphasizing its benefits while also addressing the ethical considerations that arise from its use.

3. Target Audience:This course is designed for international students pursuing careers in healthcare, medicine, and related fields. Participants will include medical students, healthcare professionals, and researchers who seek to enhance their understanding of AI technologies and their implications in clinical practice. By the end of the program, participants will be well-prepared to engage with AI innovations and contribute to the future of healthcare.

Tutor

YIN Jiayi

Associate Research Fellow

I am Dr. Jia-Yi Yin, a Special Associate Researcher at the First Affiliated Hospital of Zhejiang University School of Medicine. My research focuses on the application of artificial intelligence and data mining techniques to systematically organize and analyze data related to pharmacology. I aim to elucidate the relationships between drugs and diseases, uncover mechanisms of drug resistance, and identify potential therapeutic targets. I have contributed to the development of global research data platforms and algorithmic tools that facilitate scientific discovery across disciplines. My findings have been published in prominent journals, such as Nucleic Acids Research, IEEE Journal of Biomedical and Health Informatics, and Drug Metabolism and Disposition.

Program Highlights

1. Interdisciplinary Curriculum:

Ø This program combines insights from medicine, artificial intelligence, and ethics, offering a well-rounded education that prepares participants to understand and utilize AI technologies in healthcare settings. By integrating diverse fields, we foster a holistic understanding of the challenges and opportunities presented by AI in medicine.

2. Hands-On Learning Opportunities:

Ø The program emphasizes practical application through interactive sessions, case studies, and group discussions. Participants will engage in hands-on projects that allow them to apply theoretical concepts and develop technical skills in AI implementation, promoting experiential learning.

3. Ethical and Societal Focus:

Ø Recognizing the transformative impact of AI on healthcare, this program places a strong emphasis on ethical considerations and societal implications. Participants will explore issues related to data privacy, algorithmic bias, and ethical decision-making in medical AI, preparing them to navigate the complexities of implementing AI responsibly.

4. Comprehensive Resource Access:

Participants will gain access to a wealth of resources, including exclusive research articles, software tools, and databases relevant to AI in healthcare. This support enables ongoing learning and professional development beyond the duration of the program.

Training Objectives

1) Learn about the history and current state of AI in medicine.

2) Understand the process of implementing AI in healthcare.

3) Develop a positive attitude towards AI in medicine.

4) Appreciate the ethical considerations in AI’s healthcare application.

Research Overview

My research is centered on the application of artificial intelligence and data mining methodologies to systematically curate and analyze pharmacological data. I seek to elucidate the intricate relationships between pharmacological agents and various diseases, with a particular emphasis on oncological applications. Additionally, my work aims to uncover the underlying mechanisms of drug resistance and identify potential therapeutic targets to enhance treatment efficacy.

Projects

1. National Natural Science Foundation of China, 32400516

2. Natural Science Foundation of Zhejiang Province, QN25C060005.

Target Audience & Qualifications

✔ Undergraduate students

✔ Graduate students

Program Agenda

Program Training Schedule:

Time: 9:00 AM - 10:00 PM

Duration: 1 hours

Activities:

Lecture on the early beginnings and key milestones of AI in medicine.

Group discussion on the impacts of AI on healthcare.

Format: Lecture followed by a student-led discussion.

Break: 10:00 PM - 10:10 PM

Session Name: Case Studies in AI Applications

Time: 10:10 PM - 11:00 PM

Duration: 50 minutes

Activities:

Analysis of historical case studies where AI has been successfully implemented in healthcare.

Format: Group work and presentations.

Evaluation and Feedback

Group Discussions: Dedicated time will be allotted during the program for participants to engage in open discussions about their experiences, allowing for real-time feedback and suggestions.

YIN Jiayi, Clinical Pharmacy