Barbar Akle, PhD
Dr. Barbar Akle is Associate Provost for International Education and Programs. In his capacity, he assists the Provost with duties related to strategic planning, faculty affairs, research-support activities, policies and procedures, innovation and external projects, and other academic activities and initiatives.
Prior to his role in the Provost’s Office, Dr. Akle was Associate Professor and Assistant Dean at the School of Engineering. He is a Mechanical and Mechatronics Engineer by trade, having received his B.E., M.E. and Ph.D. in the subject, the first at the American University of Beirut, and the second two at Virginia Polytechnic Institute and State University in the US.
Within the School of Engineering, Dr. Akle was active in a variety of student and external projects that shed light on the talent and resources at LAU. He was present at major events, conferences and signings on behalf of the SOE, and reached out to other LAU schools and outside universities and institutions to further the School of Engineering’s standing and offerings.
His main research is focused on improving, modeling and characterizing Electro-Active Polymers (EAP), which are also known as artificial muscles. His work has led to a better understanding of Ionic Polymer Metal Composites (IPMC) and to the development of applications such as robotic jellyfish and wall shear stress sensors. He is currently working on developing Inner Ear Hair Cell sensors for the hearing disabled and highly efficient buoyancy engines. He is also leading new research to develop a low-cost and healthy exoskeleton system for the paralyzed, and is working with CERN to develop magnetic field resistant robots.
Dr. Akle has published more than 80 peer-reviewed international articles and authored five US patents. He is also an associate editor of the Journal of Intelligent Material Systems and Structures (JIMSS) and a member of the ASME Adaptive Structures and Material Systems Technical Committee.
The use of Artificial Intelligence (AI) in healthcare has the potential to revolutionize the industry, but it also presents ethical and safety challenges that must be addressed. In this presentation, we will take a deep dive into the world of AI and its unique features compared to traditional software and statistical tools. We will explore various AI algorithms, from decision trees to neural networks, and show how they can be effectively integrated into medical education through modules and courses from our new online MS program.
However, we must also acknowledge the potential for bias and approximation errors that can arise during the design and implementation of AI algorithms. Understanding the entire development process is essential to ensure that AI systems are fair, unbiased, and safe for patients.
Beyond understanding and educating the future generation of Medical Doctors about AI in healthcare, we must prioritize ethical principles and safety considerations. AI algorithms can produce unintended consequences that may harm patients, so we must approach the integration of AI into healthcare with caution and care. Our students must learn how to use AI technologies to improve patient care and communication while being aware of their limitations and potential risks. Autonomy and accountability are critical considerations when using AI, and we must equip our students to make informed decisions and take responsibility for their actions.