Overview of AI issues in Radiology (and Healthcare)

[sbmthakur]

https://docs.google.com/document/d/1AdSxvDUiAWwVp3L5WN_Ltsa4RX-5rUAPADPI_AsVtfU/edit

[sbmthakur]

This is a good overview of AI utilization in healthcare. The coverage of barriers to AI use and the future scope are important takeaways.

The hurdles to AI implementation in healthcare include high costs of AI software development, lack of trust and knowledge among clinicians and staff, limited availability of high-quality image data and labels, lack of generalizability of AI software, ethical and legal issues, and limitations in hospital digital infrastructure.

Overall, while the adoption of AI in healthcare, particularly in radiology, has been progressing slowly due to concerns about performance and other hurdles, there is a growing interest and recognition of its potential benefits. The FDA has approved multiple AI-based applications, and guidelines and resources are available to evaluate and implement AI solutions in radiology.