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  • Talk
  • 20/09/2023
  • UK

NIHR Research: Artifical Intelligence

Description

This VTT captures a detailed and engaging conversation on the applications of artificial intelligence (AI) in orthopedic surgery, particularly focusing on the insights shared by orthopedic surgeon Dan Perry. The video transcript begins with Perry expressing his initial confusion about being given the title "Idiot's Guide to AI." As he embarks on explaining AI's role in orthopedics, he outlines his background as an orthopedic surgeon and his experience collaborating with AI researchers, including PhD students and computer scientists.



The discussion touches on various aspects of AI, such as its potential and limitations, as well as different learning approaches — supervised, unsupervised, and reinforcement learning. Perry shares specific examples of how AI can analyze X-ray images to predict anatomical structures and abnormalities, showcasing the technology's advancements in medical diagnostics. He humorously demonstrates using AI tools like ChatGPT to streamline research tasks, highlighting its efficacy in generating abstracts and papers swiftly, albeit with some caveats regarding reliability and bias.



Throughout the session, Perry emphasizes a cautious and informed approach toward using AI in medical research, drawing attention to the ethical considerations and the 'black box' nature of AI technologies — where outcomes can be effective, yet the underlying processes remain opaque. He also addresses the challenges posed by the influx of AI research papers in medical journals, advocating for clarity and reproducibility in reporting research that utilizes AI methods.



The framing of the conversation highlights both excitement and concern over AI's integration into healthcare, with Perry prompting thoughtful discussion among his audience about defining intelligence and the implications of relying on AI in medical practices. The interaction concludes with an acknowledgment of the importance of critical thinking and validation in implementing AI solutions within the medical field.

DOI: 10.1302/3114-240738

Specialties