Gabriela CommatteoGuestCatrionaHostSo clearly it can do lots.

well it is already used uh in parts of the nhs uh so some gps for example are using ambient void technology or AVTs.

This is really a technology to record consultations and produced draft notes.

So this can free up clinicians to focus more fully on patients rather than taking notes during the appointment.

So it brings back that human aspect to the clinician-patient relationship.

For instance, it is used when it comes to AI-enabled stroke imaging technologies that are also helping NHS clinicians assess brain scans more quickly and identify patients who may benefit from trial from time-critical treatments.

The NHS has launched one of the world's largest trials of AI in breast cancer screening involving around 700,000 women to understand whether AI can help identify signs of cancer and support radiologists in reviewing scans more efficiently.

So if the trial is successful, you can imagine that the technology could help detect breast cancer earlier, reduce delays, cut waiting lists, allow specialists to see more patients and ultimately save more lives.
So clearly it can do lots.

well it is already used uh in parts of the nhs uh so some gps for example are using ambient void technology or AVTs.

This is really a technology to record consultations and produced draft notes.

So this can free up clinicians to focus more fully on patients rather than taking notes during the appointment.

So it brings back that human aspect to the clinician-patient relationship.

For instance, it is used when it comes to AI-enabled stroke imaging technologies that are also helping NHS clinicians assess brain scans more quickly and identify patients who may benefit from trial from time-critical treatments.

The NHS has launched one of the world's largest trials of AI in breast cancer screening involving around 700,000 women to understand whether AI can help identify signs of cancer and support radiologists in reviewing scans more efficiently.

So if the trial is successful, you can imagine that the technology could help detect breast cancer earlier, reduce delays, cut waiting lists, allow specialists to see more patients and ultimately save more lives.
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