Randomized Clinical Trials of Artificial Intelligence

As patient data are increasingly captured digitally, the opportunities to deploy artificial intelligence (AI), especially machine learning, are increasing rapidly. Machine learning is automated learning by computers using tools such as artificial neural networks to search data iteratively for optimal solutions. Typical applications include searching for novel patterns (eg, latent cancer subtypes), making a diagnosis or outcome prediction (eg, diabetic retinopathy), and optimizing treatment decisions (eg, fluid and vasopressor titration for septic shock). Although many express excitement regarding the promise of AI, others express concern about adverse consequences, such as loss of physician and patient autonomy or unintended bias, and still others claim that the entire endeavor is largely hype, with virtually no data that actual patient outcomes have improved.
Source: JAMA - Journal of the American Medical Association - Category: General Medicine Source Type: research