Amid the broader debate over artificial intelligence's economic disruptions, the healthcare sector is quietly demonstrating some of the technology's most concrete applications. Rather than the job losses feared in other industries, hospitals report AI augmenting physicians, streamlining routine tasks and accelerating innovation in ways that could improve outcomes while controlling costs.
At the Mayo Clinic in Rochester, Minnesota, roughly 150 AI models are now in use. A tool called Record Time helps internists distill hundreds of pages of external medical records into searchable summaries, saving five to 30 minutes per patient, according to CNN.
"AI can step in and do a lot of the tedious work that very specialized doctors or medical professionals do to speed up that process - get to more accurate diagnoses, faster so you can treat more people," Jason Droege, CEO of Scale AI, said.
Mayo is also testing AI for early pancreatic-cancer detection, potentially years ahead of conventional diagnosis, and for identifying atrial-fibrillation risks that could prevent strokes. The clinic partners with Microsoft and other firms to train models on its vast trove of patient data.
Radiology, once predicted to be AI's first casualty, tells a similar story of augmentation rather than obsolescence - though the most-cited evidence comes from an interested party. A report from Build American AI - a nonprofit advocacy arm of Leading the Future, the $100 million pro-AI super PAC backed by Andreessen Horowitz and OpenAI executives - finds the U.S. radiol
