๐Excited to share our team's publication in @BMJ_EBM: "Integrating Large Language Models in Systematic Reviews: A Framework and Case Study using ROBINS-I for Risk of Bias Assessment." Dive into our article here๐: https://t.co/DFfdDPaiuq
#SystematicReview#EvidenceBasedMedicine
You can change labels, adjust colors, and position ports exactly where you need them. No design skills. No complicated software. Just a simple tool that works.
๐ Just launched a new statistical tool! ๐
๐ https://t.co/eBGb83wX8l
โ Convert dispersion metrics (SE, CI, Range, IQR) into SD
โ Combine multiple groups into one
โ Auto-calculates combined n, mean, & SD
โ Visualizes original & combined distributions
๐ข New publication out! Our systematic review included 50 studies (45M+ patients) to quantify how hospital-acquired conditions affect length of stay. ๐ฅ Falls โ5.2 days ๐๏ธ Pressure ulcers โ12.9 days ๐ฉธ CLABSIs โ22.1 days ๐ฉน SSIs โ7.9 days
Read here: https://t.co/DVMIa1EOdI
A huge thank you to our incredible team of collaborators for their hard work and dedication to this project! ๐ Your diverse expertise made this research possible.
Looking forward to more exciting advancements together! ๐๐ฌ
Our latest paper in Modern Pathology demonstrates how AI-powered histologic features improve risk stratification in hepatocellular carcinoma (HCC). ๐ฌ๐ง
๐ Paper: https://t.co/1RF4ftimH0
Just launched my Text Memorization App! ๐
๐๏ธ Speak โ Reveal Words โ Memorize Faster! ๐ฅ
โ๏ธ Paste text & hide it
โ๏ธ Recite aloud, app reveals correct words
โ๏ธ Sequential & non-sequential modes
Try it here: https://t.co/wvyOUZ5rYs
Let me know what you think! ๐ก
1/4: Excited to share that our work on "Collaborative large language models for automated data extraction in living systematic reviews" has been published in the @JAMIA_Journal. Grateful to @IrbazRiaz@cbaral@M_Hassan_Murad@JeannePalmerMD for their support and guidance.
Perfect for researchers, students, and health professionals looking to better understand diagnostic test performance and visualize these concepts intuitively.