Showing 96-100 of 142 clinical outcomes management & analytics:
AI Applications for Clinical Development: From Finding Patients to Amplifying Endpoints

Wed, Nov 17, 2021 11:00 AM – 12:00 PM EST Presenter: Dr. Joseph Zabinski, Senior Director of Data Solutions, OM1 Register >> Artificial Intelligence (AI) technology is increasingly being used for accelerating and optimizing clinical development. Yet, understanding useful implementation and its real-world impact remain challenging. Join this webinar to explore: Real-world applications for AI[…]

Three Use Cases For Real-World Data & Artificial Intelligence For Devices And Diagnostics

SEPTEMBER 15, 2021 By Joseph Zabinski, PhD, Senior Director of AI & Precision Medicine, OM1 As innovation in devices and diagnostics accelerates, research approaches and outcomes programs also need to advance to support these developments with high-quality evidence.  At the same time, demonstrating the effectiveness of a device can be challenging because outcomes depend highly[…]

RWD + External Control Arms for Clinical Trials & Regulatory

Wed, Sep 29, 2021 11:00 AM – 12:00 PM EDT Presenter: Richard Gliklich, MD, CEO, OM1 Register >> Real-world data (RWD) is increasingly being used to develop external control arms (ECA) for trial planning and regulatory submissions. But, what types of RWD is needed and how should it be applied to be successful? Join Dr.[…]

Dell Medical School helps develop artificial intelligence tool for knee surgery

April 2, 2021 – Austin American-Statesman Read the Full Article >> If you had osteoarthritis in your knee, how would you know when it’s the right time to have knee replacement surgery? Dell Medical School at the University of Texas helped patients at UT Health Austin’s Musculoskeletal Institute answer that question by studying a new artificial intelligence tool[…]

Validation Of A Machine Learning Approach To Estimate Systemic Lupus Erythematosus Disease Activity Index Score Categories And Application In A Real-World Dataset

BMJ Journals Published: May 20, 2021 Read the Full Manuscript >>  Objective Use of the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) in routine clinical practice is inconsistent, and availability of clinician-recorded SLEDAI scores in real-world datasets is limited. This study aimed to validate a machine learning model to estimate SLEDAI score categories using clinical notes[…]