This article catalogs the principal categories of risk that corporate counsel should evaluate, with concrete examples and an eye toward the ...
Objective To examine the potential errors of a general large language model (LLM) (ie, Claude 3.5 Sonnet) on data extraction from randomised controlled trials (RCTs). Design and setting An empirical ...
Week 4 introduces a unified metadata extraction layer across all supported document formats (PDF, DOCX, XLSX). This metadata improves traceability, validation, and downstream normalisation. Metadata ...
Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...
Introduction Traditional data extraction strategies, such as human double extraction, are both time consuming and labour-intensive. Artificial intelligence (AI) has emerged as a promising tool for ...
Novel AI applications in systematic review: GPT-4 assisted data extraction, analysis, review of bias
Objective To assess custom GPT-4 performance in extracting and evaluating data from medical literature to assist in the systematic review (SR) process. Design A proof-of-concept comparative study was ...
Drone operators in the U.S. now have more access to Beyond Visual Line of Sight (BVLOS) waivers than ever before. These waivers allow a single operator to fly longer routes without placing observers ...
MRI reports and biopsy pathology reports were extracted from a cohort of 1,360,866 patients with PCa in the VA Cancer Registry System or the VA Corporate Data Warehouse, with 155,570 patients having ...
LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...
Proteomic technologies have advanced considerably in recent years, enabling a wide range of analytical approaches and applications. However, the effectiveness of metaproteomic analyses is highly ...
Web scraping is an automated method of collecting data from websites and storing it in a structured format. We explain popular tools for getting that data and what you can do with it. I write to ...
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