The future of AI in
critical care is augmented, not artificial, intelligence
by Vincent X. Liu
Critical Care volume 24,
Article number: 673 (2020) Published: 02
December 2020
The field of AI—artificial intelligence—has seen tremendous
success over the past decade. Today, AI touches billions of lives each day
through voice and text processing, computer vision, prediction algorithms,
video games, and much more. Naturally, there has also been enormous interest in
applying AI to health care and, in particular, to data-rich environments like
the intensive care unit. Early examples of AI in healthcare and critical care
have already shown great promise [1],
but also raise concerns that can be mitigated with preparation and foresight [2,3,4].
Recently, I put my own life into the hands of AI: it nearly
killed me and, later, it also saved me. This harrowing experience was a potent
reminder for me, an AI practitioner, that we must work to ensure this
technology’s formidable capabilities are used to produce ‘augmented’, rather
than just ‘artificial’, intelligence. Augmented intelligence places clinicians
and ultimately patients, rather than algorithms, at its center. Where we
successfully bridge the interface of clinician and machine intelligence, we
have vast potential to make healthcare more effective, efficient, and
sustainable. This will also ensure that health AI is safe, reliable, and
equitable for all patients.
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