Category: AI HEOR
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Introducing Loon Lens™: Enhancing Systematic Literature Reviews with Autonomous Literature Screening
We are pleased to share the results of our recent validation study, “Loon Lens 1.0 Validation: Agentic AI for Title and Abstract Screening in Systematic Literature Reviews,” now available on medRxiv. This study evaluates the effectiveness of Loon Lens™, our autonomous AI literature screener designed to automate the Title and Abstract (TiAb) screening process in…
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Ensuring Loon’s Compliance with NICE Guidelines on AI Use in Evidence Synthesis
In this article, we navigate NICE’s Position on the Use of AI in Evidence Generation for Health Technology Assessment (HTA) and explain how Loon Hatch™ – our end-to-end, fully automated, and expert-validated evidence synthesis solution – and Loon Lens™ – our scientifically validated, autonomous literature screener – align with the HTA body’s’ guidelines on the…
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Making Systematic Reviews Feasible for Every Clinical Trial with Loon Hatch™ and Revolutionizing Clinical Research
Can starting and ending clinical trials with Systematic Reviews truly be feasible? It hasn’t been—until now! In the world of clinical research, systematic reviews are essential for ensuring that trials are well-informed, ethically sound, and impactful. Yet, a recent study by Clarke et al. uncovered a concerning trend: out of 175 randomized controlled trial (RCT)…
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AI Literature Screening: Revolutionizing Systematic Reviews with Artificial Intelligence
Discover how AI is revolutionizing literature screening with tools like Loon LSR™, Cognitive Ensemble AI Systems™, and more. Learn about the benefits, applications, and future trends in AI-powered literature reviews for research efficiency and accuracy.
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The Why Behind AI
Dr. 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…
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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…
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Do Case Reports and Case Series Generate Clinical Discoveries About Preeclampsia? A Systematic Review
Preeclampsia is a leading cause of maternal and perinatal mortality and morbidity. The management of preeclampsia has not changed much in more than two decades, and its aetiology is still not fully understood. Case reports and case series have traditionally been used to communicate new knowledge about existing conditions. Whether this is true for preeclampsia…