"Healing is a matter of time, but it is sometimes also a matter of opportunity." - Hippocrates
Artificial intelligence seems to be expanding everywhere—from hot tech sectors to even boring utilities. As such, some might assert that artificial intelligence is the future of health care.
But that's not really true, because AI in health care is already here. In fact, it's been here for quite some time. At the user level, AI is already improving quality of life for those living with certain ailments and conditions. As AI develops and becomes better, it can be argued that health care, and consequently, patients, stand to benefit even more.
One example: Though still imperfect, Meta's (META -5.91% ) AI-powered sunglasses are helping the blind: While not perfectly reliable, their AI-powered visual capabilities are helping wearers read street signs, recognize faces, and, perhaps most importantly, connect with sighted volunteers who can immediately provide remote, real-time assistance on an ad-hoc basis.
AI-powered machine vision is also helping to speed and improve analysis of medical images, albeit on a more sophisticated level. Radiologists are using AI to quickly and more accurately analyze X-rays, MRIs, electrocardiograms, and CT scans. This has improved the assessment of cardiac function, helping to better identify those likely to develop heart ailments in the future. Such technology has also been useful in diagnosing Alzheimer's disease, vertebral fractures, and some types of cancer. Researchers are also increasingly using AI to triage and diagnose strokes.
In fact, in some ways, AI-powered systems have long been shown to be at least as accurate as human radiologists, if not more so. In a 2018 Stanford University test, an AI system outperformed human radiologists in diagnosing pneumonia from chest X-rays. In 2023, researchers at the University of Nottingham found that a commercially available AI system performed as well as radiologists in accurately diagnosing cancers in a test set of mammograms. (South Korea's Lunit, the maker of the INSIGHT MMG system used in the study, has since claimed that its AI can accurately estimate odds of a patient developing breast cancer four to six years before it becomes actually detectable, which to us is mind-blowing.)
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