Using ChatGPT to write patient clinic letters.

Lancet Digit Health

Reconstructive Surgery and Regenerative Medicine Research Centre, Institute of Life Sciences, Swansea University Medical School, Swansea SA2 8PP, UK; Welsh Centre for Burns and Plastic Surgery, Morriston Hospital, Swansea, UK.

Published: April 2023


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://dx.doi.org/10.1016/S2589-7500(23)00048-1DOI Listing

Publication Analysis

Top Keywords

chatgpt write
4
write patient
4
patient clinic
4
clinic letters
4
chatgpt
1
patient
1
clinic
1
letters
1

Similar Publications

The COVID-19 pandemic, caused by the continuously evolving SARS-CoV-2 virus, has presented persistent global health challenges. As novel variants emerge, many with enhanced transmissibility and immune evasion capabilities, concerns have intensified regarding the efficacy of existing vaccines and therapeutics. This review provides a comprehensive overview of the current landscape of COVID-19 vaccination, including the development and performance of monovalent and bivalent boosters, and examines their effectiveness against newly emerging variants of interest (VOIs) and variants under monitoring (VUMs), such as JN.

View Article and Find Full Text PDF

This study quantitatively evaluated the adsorption performance of natural bentonite for removing three dye classes-cationic (Basic dye: BEZACRYL RED GRL), anionic (Reactive dye: AVITERA LIGHT RED SE), and non-ionic (Disperse dye: BEMACRON BLUE HP3R) from synthetic textile wastewater. Batch adsorption experiments were conducted under varying conditions of contact time (15-90 min), adsorbent dosage (20-60 g L⁻), pH (4 and 12), and temperature (25-100 °C), with dye concentrations quantified by UV-Vis spectroscopy. At a contact time of 30 min and room temperature (25 °C), maximum removal efficiencies reached 99.

View Article and Find Full Text PDF

Myocarditis is an inflammation of heart tissue. Cardiovascular magnetic resonance imaging (CMR) has emerged as an important non-invasive imaging tool for diagnosing myocarditis, however, interpretation remains a challenge for novice physicians. Advancements in machine learning (ML) models have further improved diagnostic accuracy, demonstrating good performance.

View Article and Find Full Text PDF

While PGPB have historically been applied in agriculture, their formal recognition in the last century has driven intensive research into their role as sustainable tools for improving crop yield and stress tolerance. As they are primarily sourced from wild or native environments, the widespread enthusiasm has led to heightened expectations surrounding their potential, often based on the assumption that biological solutions are inherently safer and more effective than synthetic inputs. However, despite their popularity, increasing reports of inconsistent or limited performance under real-world, field conditions have raised critical questions about their credibility as biofertilizers and biocontrol agents.

View Article and Find Full Text PDF

Background: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasize that the level of knowledge and response consistency of the LLMs are generally acceptable; however, further optimization is needed in areas such as case discussion, interpretation, and language proficiency. Therefore, this study aimed to evaluate the performance of six distinct LLMs for Turkish and English neurosurgery multiple-choice questions and assess their accuracy and consistency in a specialized medical context.

View Article and Find Full Text PDF