How is AI trained for medical diagnosis?

How is AI trained for medical diagnosis?

AI is trained using large datasets of medical records, images, and diagnostic results to learn patterns.

What types of data are most important for training?

Clinical data, imaging data like X-rays or MRIs, and patient outcomes are crucial for effective training.

Are there any ethical concerns with using AI in healthcare?

Yes, concerns include data privacy, bias in training data, and the need for transparency in AI decision-making.

How accurate is AI in diagnosing diseases compared to human doctors?

AI can match or even exceed human accuracy in certain areas, but it often works best as a support tool for doctors.