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Pharmacist preceptor perceptions of diversity, equity, and inclusion in experiential learning experiences.
Curr Pharm Teach Learn
December 2024
The Ohio State University College of Pharmacy, 500 W 12th Avenue, Columbus, OH 43210, United States of America. Electronic address:
Introduction: Societal inequities and public discourse have prompted healthcare organizations to focus on Diversity, Equity, and Inclusion (DEI). While DEI initiatives and strategic plans have been established within academia and applied to didactic curricula, literature is limited on preceptor perspectives in engagement with DEI. This study aimed to assess pharmacist preceptor perception of DEI in learning experiences and areas for improvement in the context of experiential teaching and learning within a large, multi-site pharmacy residency program to provide guidance for strategies to improve organizational approaches.
View Article and Find Full Text PDFEnvironmentally Sustainable Preparation of Oleuropein and Its Dialdehydic Derivatives in a Simple Pharmaceutical Formulation.
ChemSusChem
December 2024
Universita degli Studi Magna Graecia di Catanzaro, Dipartimento di Scienze della Salute, ITALY.
In this paper, Krapcho's one-step decarbomethoxylation of oleuropein in DES is reported. Oleuropein used as reagent was extracted with water from olive leaves, widely available and inexpensive waste from the olive oil production chain. The reaction has been carried out in a series of ChCl-based DES of increasing acidity, with or without the addition of an amount of water, under microwave and conventional heating.
View Article and Find Full Text PDFArtificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.
Emerg Radiol
December 2024
Emergency Radiology, Department of Radiology, Massachusetts General Hospial, Boston, USA.
Background: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retraining.
Purpose: To develop an expert consensus document on best research practices and methodological priorities for emergency/trauma radiology AI.
Methods: A Delphi consensus exercise was conducted by the ASER AI/ML expert panel between 2022-2024.
Comparative analysis of diagnostic accuracy in adult congenital heart disease: A study of three physician groups and ChatGPT.
Int J Cardiol Congenit Heart Dis
December 2024
Cardiology Department, Tel Aviv Sourasky Medical Center, Israel.
This research letter evaluates the diagnostic accuracy of three physician groups-pediatric cardiologists, adult congenital heart disease (ACHD) specialists, and general cardiologists-and compares it to the performance of an AI (Artificial Intelligence) LLM model. Based on eight targeted questions in adult congenital heart disease, the analysis highlights significant disparities in correct answer rates, with congenital specialists achieving the highest accuracy and the AI model - the lowest.
View Article and Find Full Text PDFIntroduction And Objectives: To evaluate the readiness of pediatric spina bifida (SB) patients to transition from pediatric to adult urologic care. Since 1975 the survival rate of SB has increased from less than 50 % to 85 %. Adult SB patients have increased urologic needs due to their increased risk of complications including: 7-11 times risk of renal failure, 2 times risk of bladder cancer, and 46 times risk likely of UTIs.
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