“I have no doubt that sophisticated learning and AI algorithms will find a place in health care over the coming years,” Andy Schuetz, a senior data scientist at Sacramento, Calif.-based Sutter Health, told Mr. Alton. “I don’t know if it’s two years or 10 — but it’s coming.”
Here are six things to know.
1. AI and life sciences are expected to grow by 40 percent each year to reach $6.6 billion by 2021.
2. Technology, psychology and governmental regulations are holding AI advancements back.
3. For AI to really impact healthcare, innovation needs to emphasize cost and convenience.
4. Artificial narrow intelligence — like that exhibited by IBM Watson — does more than just complete tasks: it can operate better than humans. This shows a lot of promise in healthcare.
5. AI-driven diagnostic tools, coupled with 3-D imaging, patient-specific data and machine learning, can foster more accurate advice to medical teams that they can use to improve care.
6. “To date, the sweet spot in healthcare AI has been pairing algorithms with structured exercises in reading patient data and medical images to train machines to detect abnormalities. This training is called ‘deep learning’,” healthcare consultant Brian Scogland told Mr. Alton. “In the same way, algorithms are being used to sift through vast amounts of medical literature to inform treatment decisions where it would be too onerous a task to have a human read through the same journals.”
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