Working Group Webinar Library
Webinar Library
Leveraging Electronic Health Record Data and Natural Language Processing and Machine Learning for Early Detection of Pancreatic Cancer
Pancreatic cancer (PC) is ranked as the 11th most common cancer in the world with 458,918 new cases in 2018. It is projected to be the second leading cause of cancer-related mortality in the United States by 2030. Most of the mortality is attributed to advanced stage at diagnosis, and hence, only a minority of patients (15-20%) are eligible for surgical resection.
Publishing NLP in JAMIA: Past, Present, and Future
The Journal of the American Medical Informatics Association (JAMIA) will discuss trends in publishing NLP work in the journals past, present, and future, including insights from the forthcoming focus issue on Large Language Models.
Intelligent Systematic Literature Reviews (ISLaR): a Gen-AI Powered Tool for Real-Time Article Screening and Data Extraction
Traditional systematic literature review (SLR) methodologies suffer from inefficiency due to their time-consuming and resource-intensive nature. Our goal is to improve this process by developing an efficient Intelligent Systematic Literature Reviews (ISLaR) system, using Generative Pre-Trained Transformer 4 (GPT-4), for real-time article screening and data extraction.
Evaluating AI Applications Toward More Efficient Cancer Screening
Recent developments in AI have demonstrated the potential for improving our ability to detect and diagnose cancers earlier. William Hsu will present three unique experience evaluating AI in multiple cancer screening scenarios.
Write the Notes You Want to Read, Not the Ones Your Biller Used to Require
Who is in control of the content of the progress note? What is truly required for billing purposes and what are we holding onto for the sake of tradition/habit? How can you regain control of your note and remove the bloat that has built up over the years?
