What is the future of explainable AI in healthcare?
The future of explainable AI in healthcare looks promising, as it aims to enhance transparency and trust in AI systems.
How can explainable AI improve patient outcomes?
Explainable AI can improve patient outcomes by providing clear insights into AI decisions, helping doctors make informed choices.
What are the challenges of implementing explainable AI?
Challenges include the complexity of AI models, regulatory requirements, and the need for interdisciplinary collaboration.
Can you give examples of explainable AI in use today?
Sure! Examples include AI systems that assist in diagnosing diseases and those that help in personalized treatment plans.
What role do regulations play in the development of explainable AI?
Regulations ensure that AI systems are safe, effective, and transparent, which is crucial for their acceptance in healthcare.
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