The Intricacies of Implementing AI in Healthcare

Author: Kevin Fischer

Date: May 28, 2023

In this blog post, Kevin Fischer, a trailblazer in securing one of the first FDA approvals in ML & radiology, discusses the complexities of implementing AI systems in real-world applications, specifically in radiology. He counters the misconception that jobs requiring extensive training and expertise can be reduced to a few tasks that an AI can perform, emphasizing the unique understanding and expertise radiologists bring to their profession. Radiology is a complex profession that goes beyond simple tasks suitable for AI. Radiologists have extensive knowledge of the brain, allowing them to identify rare conditions with minimal exposure. The value of AI lies in the implementation details of its systems. Fischer also highlights the challenges of data security in hospitals and the stringent regulatory environment in healthcare. Thus, recognizing that AI is not positioned to replace every social system despite its potential, and concludes by stating that the small details of implementation are where value accrues in AI applications. While AI has potential, it's not poised enough to take over social systems.