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Randomized Clinical Trials

Every rule, that governs a randomized clinical trial originally came from some study that had a disastrous outcome. Somebody made a mistake and the results did not replicate or they turned out to be wrong and then some methodologist took a look at why this happened and thought about, well what can we do in the future to prevent this ever happening again? And all of these rules are based on real experiences with research and data and they are all meant to prevent consequences that they know about.

To learn more from Dr. Helena Kraemer listen to the podcast episode below.

Randomized Clinical Trials Part 1

Randomized Clinical Trials Part 2

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    Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding"

    Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD

    Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).