Session Overview Artificial Intelligence (AI) is the notion of machines mimicking cognitive functions usually associated with humans, such as reasoning, predicting, planning, and problem solving. With growing repositories of data, improving sophistication of algorithms and faster computing resources, AI is becoming increasingly integrated into everyday use. In healthcare, AI represents an opportunity to increase safety, improve quality and reduce the burden on increasingly overstretched systems. Presently, we are seeing a shift from research work to the implementation of clinically viable applications. As the use of AI expands, so does the need for responsible oversight, and governance becomes increasingly important. AI in the delivery of healthcare carries new opportunities and challenges, including the need for greater transparency, the impact AI tools may have on a larger number of patients and families, and potential biases that may be introduced by the way an AI platform was developed and built. Healthcare organizations will face many challenges when adopting or implementing AI-based solutions, including defining appropriate problems to solve using AI, continuously evolving technology, and a large and diverse range of healthcare users. This presentation provides practical guidance in the development and implementation of AI applications in healthcare, with a focus on risk identification, management, and mitigation.
