AI is transforming medical diagnosis and early adopters are already benefiting from its ability to improve patient outcomes and cut costs

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How top US health systems are reacting to the disruptive force of AI by revolutionizing diagnostic imaging, clinical decision support, and personalized medicine



* This chart and data were pulled from the AI in Medical Diagnosis report by Business Insider Intelligence. Purchase the report here for $50 off $495 to get immediate access to the full analysis.
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AI is rocking medical diagnosis with its potential to incite drastic improvements to hospital processes. AI can process images and patient health records with more accuracy and expediency than humans are capable of, lessening physician workload, reducing misdiagnosis, and empowering clinical staff to provide more value.

Most US hospitals are at the very early stage of the AI transformation curve — and they risk falling behind if they don't move now. Here's how AI will disrupt medical diagnosis and drive radical improvements:
  • Reduced costs. AI can reduce treatment costs by 50% by creating more efficient diagnosis processes, streamlining workflows, and improving care delivery, according to Frost and Sullivan. And over time, the tech will have a direct impact on hospitals' high labor costs.
  • Improved clinical outcomes. AI will power faster and more accurate diagnosis, with the potential to improve outcomes by up to 40%, in turn boosting patient satisfaction and reducing the length of patient stays, which could increase both retention and volume.
  • Fewer medical errors. Numerous studies have proven AI's ability to match or exceed...
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