Shabbir Abdul

Shabbir Syed Abdul is a professor and accomplished health informatics researcher at Taipei Medical University, specializing in artificial intelligence and digital healthcare.1 His expertise spans various areas within these fields, as evidenced by his professional activities and research interests.

Research and Academic Contributions

Professor Syed-Abdul is actively involved in cutting-edge research related to AI and healthcare. He has supervised master's theses exploring factors influencing the completeness of Malaysian electronic health records.4 Additionally, he has contributed to scoping reviews on machine learning applications for sepsis prediction, demonstrating his engagement with advanced medical AI research.6

Speaking Engagements and Knowledge Sharing

Shabbir Syed Abdul has been invited to give talks on the application of AI and Large Language Models (LLMs) in medical education and healthcare. He has presented on this topic in Peru, showcasing his international recognition as an expert in the field.235

Publications and Thought Leadership

Professor Syed-Abdul is involved in publishing research and opinion pieces on responsible AI in healthcare. He advocates for a balanced approach that leverages AI's capabilities while addressing ethical considerations and potential risks.7

Professional Focus

His work primarily revolves around:

• Health informatics
• Artificial intelligence in healthcare
• Digital health technologies
• Medical education
• Responsible AI implementation

Through his various professional activities, Shabbir Syed Abdul demonstrates a commitment to advancing the field of health informatics and promoting the responsible use of AI in healthcare settings.