Investigate trends and possibilities for AI in respiratory medicine
On this four-week course from Taipei Medical University, you’ll explore the applications of AI in the diagnosis, clinical management, and research of respiratory diseases.
You’ll be introduced to medical ethics and examine the ethical issues that surround AI applications, giving you a deeper, contextualised knowledge of AI treatments and usage.
Explore the role of AI in diagnosing lung diseases
Focusing on diseases including pneumothorax and lung lesions, you’ll learn how AI is used in detection and diagnosis and the impact this can have on survival rates.
Gaining insights into cutting edge technology, you’ll be able to identify the advantages and limitations of different AI technology when diagnosing and classifying diseases.
Examine AI and IoT applications for sleep disordered breathing
AI and IoT technology is helping to make significant strides in the area of sleep apnea diagnosis, thanks to the development of wearable monitoring devices.
You’ll learn how innovative technology can help detect changes in sleep disordered breathing, diagnose sleep apnea conditions, and analyse the severity and type of disease. You’ll also discover how the data collected can be synthesised and used to develop treatment methods.
Investigate a home-based pulmonary rehabilitation program
Smart telemedicine and AI are now being used throughout the process of diagnosing, treating, and monitoring diseases such as COPD.
You’ll examine how AI is used during COPD diagnosis and pulmonary rehabilitation, and be able to evaluate its effects on data analysis, quality of care, and patient quality of life.
By the end of this course, you’ll have a thorough overview of the ways in which AI, machine learning, and IoT technologies are transforming clinical care and approaches to pulmonary diseases.
This course is designed for medical students, those working in the healthcare sector, biologists, researchers, and caregivers who would like to further their understanding of AI applications in pulmonary disease research, diagnosis, and rehabilitation.
