This episode of The Better Outcomes Show explores how artificial intelligence (AI) transforms healthcare delivery and decision-making. Drawing from a structured review of 288 peer-reviewed articles published between 1992 and 2021, we break down key themes, trends, and implications for clinicians, health systems, and patients. From diagnostics to health services management, we’ll look at where AI is already making an impact—and where the field still needs to grow.

What we cover in this episode:

-The rapid growth of AI in healthcare research and its emerging significance.
-Five core applications of AI in healthcare: health services management, predictive medicine, patient data handling, diagnostics, and clinical decision-making.
-How AI supports clinicians by improving diagnostic accuracy, predicting disease spread, customizing treatments, and streamlining administrative tasks.
-The leading countries in AI healthcare research and the current state of international collaboration.
-Key trends in AI research, including machine learning, deep learning, natural language processing, telemedicine, and COVID-19-related applications.
-Identified gaps in research, such as the need for cost-benefit analyses and considerations for low-resource settings.
-The importance of ethical considerations, data quality, and workforce skill development in AI implementation.
-The necessity of balancing AI support with preserving physicians’ critical thinking to avoid over-reliance or “de-skilling.”

Full episode note: https://rehabupracticesolutions.com/better-outcomes-155

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Resources mentioned:

The role of artificial intelligence in healthcare: a structured literature review (https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01488-9)

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