The Best Healthcare AI Stock on the Market Right Now

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Artificial intelligence (AI), healthcare, and investing in stocks are three of my favorite topics. So when you combine all three of them, I really get excited.

There are quite a few great stocks of companies that are harnessing the power of AI in improving healthcare. IBM (NYSE: IBM), for example, is already changing healthcare in several ways with its Watson AI technology. NVIDIA (NASDAQ: NVDA) developed an AI platform that's designed specifically for healthcare applications.

I like IBM and NVIDIA. But if you're looking for the best healthcare AI stock on the market right now, check out Google parent Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL).

From a transparent screen filled with adjacent hexagonal icons,a man touches an icon labeled AI.
From a transparent screen filled with adjacent hexagonal icons,a man touches an icon labeled AI.

Image source: Getty Images.

Follow the money

Where do most healthcare dollars go in the U.S.? It's not prescription drugs. It's not even costly long-term care. Nearly one-third of national health expenditures in the U.S. come from hospital care, according to the Centers for Disease Control and Prevention. So if you want to use AI to really make a difference in healthcare, the most practical area to focus on would be in reducing hospital costs.

That's exactly what Alphabet is doing. Researchers from the company's Google business unit teamed up with others from the University of California, Stanford University, and the University of Chicago to develop an AI system that could predict the outcomes of hospital visits.

In January, the Google-led team published a paper detailing their effort to use AI in predictive modeling of hospital visits. The researchers used electronic health record data from two U.S. academic medical centers with 216,221 adult patients. This data included nearly 46.9 billion data points.

The results from the AI initiative were impressive. Deep-learning neural networks were able to predict in-hospital mortality, 30-day unplanned readmissions, prolonged length of stay, and all of a patient's final diagnoses with high levels of accuracy that were significantly more accurate than current models.

Why would predicting these outcomes matter? Consider that of the $26 billion spent each year on hospital readmissions, an estimated $17 billion is for readmissions that could have been prevented if patients received appropriate care on their first visits. And any reduction in length of stay has the potential to dramatically lower costs.

A great vision

Google's healthcare AI team thinks "that AI is poised to transform medicine, delivering new, assistive technologies that will empower doctors to better serve their patients." One way this vision is being achieved is by using AI to help with early diagnosis of diabetic retinopathy.