Course introduction

In this course, we will explore AI in pulmonary medicine, especially how can AI aid in detecting pulmonary diseases in clinical cases.

Topics include:

• AI in respiratory medicine: current trends and future possibilities
• The role of AI in diagnosing lung diseases
• AI and IoT for sleep-disordered breathing and post Covid-19 respiratory care
• AI for home-based pulmonary rehabilitation in COPD

This course is designed for clinical practice due to the impact of the COVID-19 epidemic and is based on a MOOCs model of teacher training. The course integrates the development of Artificial Intelligence (AI) in thoracic medicine, diagnosis, clinical management, application, and education of respiratory diseases. Through the platform, we aim to cultivate an independent learning attitude and lifelong learning habits among students, nurture quality medical professionals, and provide the public with accurate and quality medical and healthcare knowledge.

The course is proposed by a deceased professor, Dr. Chen, Yen-Chou. He passed away during the process of creating this course. In commemorating his contribution to the field of medicine during his lifetime, several faculty members developed this course together on this topic: artificial intelligence in the medical treatment of lung diseases. We have 5 educators in this course.

• Ho, Shu-Chuan
  Associate Professor, School of Respiratory Therapy, Taipei Medical University
• Chou, Chun-Liang
  Taipei Medical University Hospital, Division of Emergency Medicine, deputy director
• Lee, Kang-Yun
  Associate Dean, Professor, Shuang Ho Hospital, Taipei Medical University College of Medicine
• Liu, Wen-Te
  Director, Shuang Ho Hospital, Associate Professor, Taipei Medical University College of Medicine
• Chang, Jungshan
  Associate professor, Taipei Medical University

At the bottom of some steps, we provide some questions in the Share and Learn section. These questions can help you understand the content professor just delivered. You are welcome to share your answer, notes, and questions. Also, we provide slides in the video as an attachment. Please check the download section where you could find these materials.