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<p>Over the past decade, healthcare tools leveraging artificial intelligence and machine learning have transitioned from academic-centered development to industry. Key drivers include limited funding, rising computational requirements, and an exodus of academic talent to industry. The ramifications of this are both significant and concerning. Strategies should focus on sharing capital, talent, and advisory boards across industry and academia to foster innovation that is clinically relevant and impactful.</p>

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Academia loses its grip on digital health solutions as innovation in artificial intelligence shifts towards industry

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月25日

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  • Baraa A. Hijaz,
  • Olivia M. Burke,
  • Sara Y. Khattab,
  • Yevgeniy R. Semenov

摘要

Over the past decade, healthcare tools leveraging artificial intelligence and machine learning have transitioned from academic-centered development to industry. Key drivers include limited funding, rising computational requirements, and an exodus of academic talent to industry. The ramifications of this are both significant and concerning. Strategies should focus on sharing capital, talent, and advisory boards across industry and academia to foster innovation that is clinically relevant and impactful.