-
Outlier analysis for clinical discovery: An augmented intelligence framework and a systematic review
Read more →: Outlier analysis for clinical discovery: An augmented intelligence framework and a systematic reviewIntroduction 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…
-
The Why Behind AI
Read more →: The Why Behind AIDr. Janoudi’s keynote discusses the use of AI in Clinical Research as well as applications, best practices, and regulatory aspects. FAQs Why is AI important in clinical discovery? AI is important in clinical discovery because it can help identify unique and unusual cases that may lead to new medical breakthroughs. By analyzing large datasets more…
-
Augmented Intelligence for Clinical Discovery in Hypertensive Disorders of Pregnancy Using Outlier Analysis
Read more →: Augmented Intelligence for Clinical Discovery in Hypertensive Disorders of Pregnancy Using Outlier AnalysisClinical 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…