Detect anomalies in Chest X-Ray scans using Artificial Intelligence

  1. Faster diagnosis: For example, in the case of tuberculosis diagnosis, the results typically arrive in 3 days. However, in AI applications, the outcome is immediate.
  2. Increase the accuracy: The AI model has narrow intelligence. Given a large amount of data, its only task is to learn to distinguish between anomalies and normal images. As a result, it has been demonstrated to outperform the average professional.
  3. Pre-diagnosis of X-rays: The results suggested by AI applications can be used as a pre-diagnosis step, allowing a doctor or medical worker to proceed with the next step in diagnosis or report creation.

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Your Digital Transformation partner. We are here to share knowledge on varied technologies, updates; and to stay in touch with the tech-space.

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