11 Questions to Ask Your Doctor About AI-Powered Health Diagnostics

2. Evaluating the Accuracy of AI Diagnostic Tools

Accuracy is a cornerstone of effective diagnostics, and AI tools are no exception. Patients should inquire about the accuracy rates of AI-driven diagnostic tools used in their care. These rates can vary significantly depending on the condition being diagnosed and the quality of the data used to train the AI. For example, AI systems used in radiology might boast high accuracy rates due to the large datasets available for training, while those used for rarer conditions might not perform as well. Doctors should be able to provide information on the validation studies conducted for the AI tools they use, including any peer-reviewed research supporting their efficacy. Understanding these details can help patients gauge the reliability of AI diagnostics and make more informed decisions about their treatment options.