AI has yet to revolutionize health care- POLITICO

Investors have jumped on artificial intelligence as the next big thing in healthcare, with billions flowing into AI-enabled digital health startups in recent years.

But technology has yet to transform medicine in the way many predicted, Ben and Ruth report.

“Companies come in promising the world and often don’t deliver,” Bob Wachter, head of the department of medicine at the University of California, San Francisco, told Future Pulse. “When I look for examples of … real AI and machine learning that are really making a difference, they are very few and far between. It’s quite overwhelming.”

Administrators say algorithms from third-party firms often don’t work seamlessly because each health system has its own technology, so hospitals are developing their own AI in-house. But it’s moving slowly—searches of job postings show that health care has lagged in every industry except construction.

The FDA is working on a model to regulate AI, but it’s still in its infancy.

“There is an inherent inconsistency between the pace of software development and government regulation of medical devices,” said Kristin Zielinski Duggan, a partner at Hogan Lovells.

Questions remain about how regulators can curb AI’s shortcomings, including biases that threaten to exacerbate health disparities. For example, a 2019 study found that a common hospital algorithm more often directed white patients to programs that offer more personalized care than black patients.

And when providers build their own AI systems, they typically aren’t vetted the way commercial software is, allowing flaws to go unpatched for longer than they otherwise would. Furthermore, with data often shared between health systems, the lack of quality data to power algorithms is another obstacle.

But AI has shown promise in a number of medical specialties, particularly radiology. NYU Langone Health has worked with Facebook’s AI Research Group (FAIR) to develop AI that allows an MRI to take 15 minutes instead of an hour.

“We’ve taken 80 percent of the human effort out of it,” said John D. Halamka, president of the Mayo Clinic platform, which has an algorithm in a clinical trial that aims to reduce the lengthy process of devising a surgical plan for removal. of complex tumors.

And in another success story, Ochsner Health of Louisiana developed AI that detects early signs of sepsis, a life-threatening infection.

Micky Tripathi, HHS’s national health information technology coordinator, says AI can resemble sports broadcasting systems that highlight a team’s chance of winning at any given moment in the game. In health care, an electronic health record system can give doctors a patient’s risk profile and the steps they may need to take.

“This will go down as one of the most important, if not the most important, transformative phases of medicine,” said Eric Topol, founder of the Scripps Translational Research Institute. “A lot of heavy lifting remains to be done.”

Welcome back to The pulse of the future, where we explore the convergence of healthcare and technology. Tiny blood draws from babies, used to screen for disease, are now also being used in criminal investigations to indict their parents! What a world.

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