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Synthetic medical images UPSC NOTE

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  What are Synthetic Medical Images? Images generated by AI or algorithms, not captured by traditional imaging methods (e.g., MRI, CT). Bui...

 What are Synthetic Medical Images?

  • Images generated by AI or algorithms, not captured by traditional imaging methods (e.g., MRI, CT).

  • Built using techniques like generative adversarial networks (GANs), variational autoencoders (VAEs), and diffusion models.

  • They mimic real medical images without using actual patient data.

Advantages of Synthetic Images

  • Intra- and Inter-Modality Translation: Can generate images across different types of scans (e.g., creating CT from MRI), filling gaps when certain scans are missing.

  • No real patient data is used, avoiding privacy concerns in data sharing and collaboration.

  • Reduces the time and cost associated with collecting real medical data.

Challenges Ahead

  • Risk of creating deepfakes that can mislead diagnoses or enable fraud.

  • May not capture the complexities of real medical conditions, leading to inaccurate representations.

  • Over reliance on synthetic images could blur the line between real and generated data, affecting diagnostic accuracy.

Way Forward

  • Close work between clinicians and AI developers to improve the quality and utility of synthetic images.

  • Ensuring regulatory and ethical standards are upheld in the use of AI-generated images.

  • Emphasizing cautious optimism to leverage the benefits of synthetic images without compromising real-world healthcare integrity.


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Learnerz IAS | Concept oriented UPSC Classes in Malayalam: Synthetic medical images UPSC NOTE
Synthetic medical images UPSC NOTE
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Learnerz IAS | Concept oriented UPSC Classes in Malayalam
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