Time slot's time in Taipei (GMT+8)
2025/11/22 11:00-12:30 Room 201 ABC
- Rollout of IFCN Position Statement
AI in Clinical Neurophysiology (CNP): the Position Statement of IFCN
- Time
- Topic
- Speaker
- Moderator
- 11:55-12:20
- Benefits, Risks, and Ethics of AI Implementation in CNP
- Speaker:
Nortina Shahrizaila
(Malaysia)
- Moderator:
Aatif Mairaj Husain
(United States)
- Nortina Shahrizaila
- MD, PhD
-
Professor of Neurology, Universiti Malaya, Kuala Lumpur, Malaysia
E-mail：nortina@um.edu.my
Executive Summary：
Dr Nortina Shahrizaila is Professor of Neurology at Universiti Malaya in Kuala Lumpur. She has subspecialty clinical and research interests in the field of neuromuscular disorders and leads the multidisciplinary ALS clinic at Universiti Malaya Medical Centre. She has served as Secretary of the International Federation of Clinical Neurophysiology (2022-2024) and is currently the President-Elect of the Pan-Asian Consortium for Treatment and Research in ALS (PACTALS)
Dr Nortina Shahrizaila is Professor of Neurology at Universiti Malaya in Kuala Lumpur. She has subspecialty clinical and research interests in the field of neuromuscular disorders and leads the multidisciplinary ALS clinic at Universiti Malaya Medical Centre. She has served as Secretary of the International Federation of Clinical Neurophysiology (2022-2024) and is currently the President-Elect of the Pan-Asian Consortium for Treatment and Research in ALS (PACTALS)
Lecture Abstract：
The use of AI in clinical neurophysiology has many benefits including improved diagnostics and efficiency as well as personalized treatment. However, there are potential risks such as concerns on privacy and data security, lack of transparency with processes especially in deep learning methodology, accountability, and potential for job displacement. Ethical considerations are crucial for responsible AI integration, including ensuring patient autonomy, transparency, and human oversight.
The talk will provide an overview of these aspects of the IFCN position statement on AI implementation in clinical neurophysiology
The use of AI in clinical neurophysiology has many benefits including improved diagnostics and efficiency as well as personalized treatment. However, there are potential risks such as concerns on privacy and data security, lack of transparency with processes especially in deep learning methodology, accountability, and potential for job displacement. Ethical considerations are crucial for responsible AI integration, including ensuring patient autonomy, transparency, and human oversight.
The talk will provide an overview of these aspects of the IFCN position statement on AI implementation in clinical neurophysiology
