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Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications.

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Artificial intelligence (AI) in health shows limited direct patient application, with most research analyzing social media data. Future AI development requires patient and consumer collaboration to ensure meaningful health benefits.

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Area of Science:

  • Consumer health informatics
  • Medical informatics
  • Artificial intelligence in healthcare

Background:

  • The International Medical Informatics Association (IMIA) Yearbook 2019 focused on artificial intelligence (AI) in health.
  • Limited research in 2018 specifically addressed AI applications for patients and consumers.

Purpose of the Study:

  • To summarize the state of the art in consumer health informatics and education in 2018.
  • To emphasize AI in health, focusing on opportunities, challenges, and implications for patients and consumers.

Main Methods:

  • Systematic PubMed search identifying 99 articles.
  • Screening and selection of 14 relevant articles.
  • Expert panel review and scoring to identify the top three papers on AI for patients and consumers in 2018.

Main Results:

  • Few 2018 studies reported AI research for patients and consumers.
  • No studies focused on AI applications designed specifically for patients or consumers.
  • Current AI use for patients/consumers primarily involves secondary analysis of social media data.

Conclusions:

  • A significant gap exists in evidence and direction for AI benefiting patients and consumers directly.
  • Engaging patients and consumers early in AI research is crucial for identifying relevant use cases and needs.
  • Developing impactful AI applications requires understanding patient/consumer needs and how AI can support their healthcare journeys.