Category: AI Clinical Discovery
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Outlier analysis for accelerating clinical discovery: An augmented intelligence framework and a systematic review
Introduction Clinical research often hinges on identifying unusual or outlier cases, which can lead to groundbreaking discoveries. Traditionally, these outliers are identified through manual methods like case reports, which are time-consuming and limited by human observation. However, a recent study published in PLOS Digital Health proposes a novel approach using an augmented intelligence framework for…
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Augmented Intelligence for Clinical Discovery in Hypertensive Disorders of Pregnancy Using Outlier Analysis
Clinical discoveries are heralded by observing unique and unusual clinical cases. The effort of identifying such cases rests on the shoulders of busy clinicians. We assess the feasibility and applicability of an augmented intelligence framework to accelerate the rate of clinical discovery in preeclampsia and hypertensive disorders of pregnancy-an area that has seen little change…