Publications by authors named "Benjamin Dreesman"
Article Synopsis
- * It misidentified three medications due to errors in reading their imprints but showed 100% consistency upon retesting after feedback.
- * The study concluded that while ChatGPT-4 shows promise as a tool for medication identification, improving its ability to read challenging imprints is necessary for better integration into digital health.
Background: This study investigated the efficacy of ChatGPT-3.5 and ChatGPT-4 in assessing drug safety for patients with kidney diseases, comparing their performance to Micromedex, a well-established drug information source. Despite the perception of non-prescription medications and supplements as safe, risks exist, especially for those with kidney issues.
View Article and Find Full Text PDFObjective: To assess bleeding and activated partial thromboplastin time (APTT) in relation to body mass index (BMI) in patients prescribed weight-based dosing of intravenous unfractionated heparin (UFH) for cardiac indications without a maximum (dose-capped) initial bolus or capped initial infusion rate.
Patients And Methods: Consecutive patients admitted to an academic medical center from February 1, 2002, through November 31, 2003, who were treated with a UFH nomogram consisting of a 60-U/kg intravenous bolus plus an initial continuous intravenous infusion of 12 U/kg hourly and titrated to a goal APTT range corresponding to thromboplastin-adjusted target heparin levels of 0.3 to 0.