Gastroenterology and Artificial Intelligence: 4th Annual Global Artificial Intelligence Summit (On-Demand | August 2022-Learning from Other Disciplines: How Far Behind is GI?

Video Transcription

Video Summary

In this video, Dr. Charles Kahn, a professor and vice chair of radiology at the University of Pennsylvania, discusses the challenges and considerations in adopting artificial intelligence (AI) in medical imaging. Dr. Kahn emphasizes the importance of testing and validation of AI systems to ensure their accuracy and reliability. He highlights the need for rigorous evaluation of AI algorithms, considering factors such as bias, performance metrics, and external validation. Dr. Kahn talks about the significance of information standards, like DICOM, in promoting interoperability and innovation in radiology. He also mentions the potential risks and benefits of AI integration into clinical workflows, emphasizing the importance of considering user training, maintenance, and potential errors. Dr. Kahn concludes by encouraging collaboration and sharing experiences across different specialties to address common challenges in adopting AI in medical imaging.

Asset Subtitle

Charles Kahn, Jr., MD, MS

Keywords

Dr. Charles Kahn

artificial intelligence

medical imaging

testing and validation

information standards