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FlexiMasters in AI in Medicine
Join our innovative FlexiMasters Artificial Intelligence (AI) in Medicine programme, offered by Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), in collaboration with the National Healthcare Group and the School of Computer Science Engineering, NTU, and become a leader in the rapidly evolving field of medical technology!
In a dynamic world where healthcare and technology intersect, there is an increasing need for healthcare professionals and engineers to collaboratively harness the potential of Artificial Intelligence (AI) to benefit patient care and clinical practice. Globally, the world is integrating AI in all aspects of professional and personal life and this phenomenon is projected to transform human, machine and system operations across all domains of society e.g., financial, security, infrastructure, education, consumer behaviour and transport.
As one of the key pillars of society that delivers essential services to the population, healthcare is anticipated to capitalize on the potential benefits that AI offers to enhance the delivery of medical services and patient care outcomes, and to maximise the value of healthcare resources. Such a transformation requires AI-literacy among healthcare professionals, not only as a smart user of AI-tools, but also to be part of the eco-system that pushes the boundaries of AI to deliver smart solutions in healthcare. To address the increasing demand for AI integration in healthcare, LKCMedicine is collaborating with the National Healthcare Group and the School of Computer Science Engineering in NTU to offer a FlexiMasters AI in Medicine (AIMED) programme.
Focus of FlexiMasters AI Medicine Programme (AIMED)
The AIMED programme comprises seven AI-related modules of coursework (15 academic units) that will be delivered on a part-time basis over one academic year. The course is designed to attract both local and international participants who want to be proficient AI users and active co-creators in the lifecycle of clinical AI systems. Learners will be taught the intricate boundary of AI and the evaluation and validation of AI systems for potential application in healthcare settings, with a deep appreciation of the contextual requirements. The knowledge gained will better position healthcare professionals to identify and demand for AI solutions in their respective domains of practice, and to interface with scientists and engineers to influence the design of healthcare-centric AI solutions. Scientists and engineers will be better equipped to support healthcare-related AI solutions.
Why choose the AIMED?
Global Participation: This course welcomes both local and international participants who are passionate about becoming proficient AI users and active co-creators in the lifecycle of clinical AI systems.
In-Depth Learning: Delve into the complex boundaries of AI, focusing on evaluation and validation methods specifically for healthcare applications. Gain a robust understanding of the contextual requirements crucial for successful implementation.
Empowerment for Healthcare Professionals: Equip yourself with the skills to identify and advocate for innovative AI solutions in your field. Learn how to collaborate effectively with scientists and engineers to shape the future of healthcare-centric AI systems.
Enhanced Skills for Tech Experts: Scientists and engineers will acquire the essential skills to design and support AI solutions tailored to meet the unique demands of the healthcare sector.
