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The adoption of AI tools to improve the quality and cost-effectiveness of healthcare is accelerating. The impact is felt in multiple domains: from developing a drug or treatment to deploying it, assisting with managing patients’ health in clinical settings, and putting AI in the hands of consumers. Here is a roundup of recent growth indicators of AI in healthcare. In the first quarter of 2025, they saw a marked acceleration in AI health investments. CB Insights reports that AI startups raised $3.2 billion, or 60% of all digital health funding, up from 41% in the first quarter of 2024. “Top-funded segments included AI-derived small molecule drug discovery and clinical documentation tools, underscoring the shift toward targeted, high-impact applications,” says CBI. AI startups secured 8 of the 11 mega-rounds (deals over $100 million), “signaling where investors expect outsized returns.”
58% of Americans used virtual care in the past year. Healthcare organizations that implement AI-enabled telehealth report substantial improvements across multiple metrics. About 75% of facilities note enhanced disease treatment effectiveness, while 80% experience reduced staff burnout rates. AI systems process medical images 30 times faster than conventional methods without sacrificing accuracy. Cleveland Clinic reports a 94% accuracy rate for its AI virtual triage system.
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From ambient listening to prior authorizations and advanced diagnostics, healthcare providers are already using artificial intelligence to improve patient outcomes and clinician experiences.But it’s …
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