Background: Despite the utility of the beryllium lymphocyte proliferation test (BeLPT), distinguishing sarcoidosis, a disease of unknown etiology, from chronic beryllium disease (CBD), has long posed a diagnostic challenge. It is unclear if beryllium-exposed sarcoidosis cases (Be-exp-Sarc) are clinically distinct from CBD, or are misdiagnosed cases of CBD.
Methods: We performed a case-case study of 40 beryllium-exposed individuals diagnosed with Be-exp-Sarc compared to 40 frequency-matched CBD cases.
Background: With the rapid evolution of artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT-4 (OpenAI), there is an increasing interest in their potential to assist in scholarly tasks, including conducting literature reviews. However, the efficacy of AI-generated reviews compared with traditional human-led approaches remains underexplored.
Objective: This study aims to compare the quality of literature reviews conducted by the ChatGPT-4 model with those conducted by human researchers, focusing on the relational dynamics between physicians and patients.
Purpose: Adolescent and young adult patients occupy a clinically transitional space between pediatric and adult care. Youth with chronic conditions and special healthcare needs may have trouble accessing and receiving appropriate care in this transition, which may lead to patient safety issues and medicolegal risks for physicians. The objectives of this article were to explore patient safety issues and identify medicolegal risks for physicians.
View Article and Find Full Text PDFJ Allergy Clin Immunol Pract
September 2024