Sep 2, 2026 · 29 min · 11 segments
Artificial intelligence (AI) is rapidly moving from the research setting into everyday clinical care, offering new possibilities for risk prediction, clinical decision support, image analysis and…
The context really matters, doesn't it? Well, I've recently come across this term of, quote unquote, keeping clinicians in the loop, which I guess touches upon what Deepa has already described in relation to using AI.
So if I could ask you, Vicky, could you perhaps describe for our listeners what this term actually means and how does this help support the ethical use of AI?
The clinician needs to maintain meaningful oversight and remains fully responsible for the final decision.
Sometimes it's very difficult when we have an answer from an AI tool or prediction.
We need to understand the limitations of the tools, critically evaluate the output, and be able to question or override it.
After a long and demanding day, when we are tired or under time pressure, it may become very tempting to simply accept an AI recommendation without critically evaluating.
Practically, it's difficult to identify because sometimes it's a subconscious reaction.
We clinicians, we need to understand both the capabilities and the limitations of the systems that we are using.
Keep the clinician in the loop, it's easy to say, but it's difficult to actually achieve it.
The context really matters, doesn't it? Well, I've recently come across this term of, quote unquote, keeping clinicians in the loop, which I guess touches upon what Deepa has already described in relation to using AI.
So if I could ask you, Vicky, could you perhaps describe for our listeners what this term actually means and how does this help support the ethical use of AI?
The clinician needs to maintain meaningful oversight and remains fully responsible for the final decision.
Sometimes it's very difficult when we have an answer from an AI tool or prediction.
We need to understand the limitations of the tools, critically evaluate the output, and be able to question or override it.
After a long and demanding day, when we are tired or under time pressure, it may become very tempting to simply accept an AI recommendation without critically evaluating.
Practically, it's difficult to identify because sometimes it's a subconscious reaction.
We clinicians, we need to understand both the capabilities and the limitations of the systems that we are using.
Keep the clinician in the loop, it's easy to say, but it's difficult to actually achieve it.
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