Large language models as decision aids in neuro-oncology: a review of shared decision-making applications
A Lawson McLean, Y Wu, AC Lawson McLean… - Journal of Cancer …, 2024 - Springer
Shared decision-making (SDM) is crucial in neuro-oncology, fostering collaborations
between patients and healthcare professionals to navigate treatment options. However, the …
between patients and healthcare professionals to navigate treatment options. However, the …
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
Patients often face difficulties in understanding their hospitalizations, while healthcare
workers have limited resources to provide explanations. In this work, we investigate the …
workers have limited resources to provide explanations. In this work, we investigate the …
To trust or not to trust: evaluating the reliability and safety of AI responses to laryngeal cancer queries
M Ostrowska, P Kacała, D Onolememen… - European Archives of …, 2024 - Springer
Purpose As online health information-seeking surges, concerns mount over the quality and
safety of accessible content, potentially leading to patient harm through misinformation. On …
safety of accessible content, potentially leading to patient harm through misinformation. On …
Release of complex imaging reports to patients, do radiologists trust AI to help?
Background As a result of the 21 st Century Cures Act, radiology reports are immediately
released to patients. However, these reports are often too complex for the lay patient …
released to patients. However, these reports are often too complex for the lay patient …
Enhancing diagnostic support for Chiari Malformation and Syringomyelia: a comparative study of Contextualized ChatGPT models
Objectives The rapidly increasing adoption of large language models in medicine has drawn
attention to potential applications within the field of neurosurgery. This study evaluates the …
attention to potential applications within the field of neurosurgery. This study evaluates the …
Commendations and Concerns on the Analysis of Stochasticity in Large Language Models
Editor: We read with great interest the article by Dr Krishna and colleagues (1) in the May
issue of Radiology, which aimed to investigate the stochasticity of large language models …
issue of Radiology, which aimed to investigate the stochasticity of large language models …
Comparative Analysis of Artificial Intelligence Virtual Assistant and Large Language Models in Post-Operative Care
In postoperative care, patient education and follow-up are pivotal for enhancing the quality
of care and satisfaction. Artificial intelligence virtual assistants (AIVA) and large language …
of care and satisfaction. Artificial intelligence virtual assistants (AIVA) and large language …
[HTML][HTML] How artificial intelligence can provide information about subdural hematoma: Assessment of readability, reliability, and quality of ChatGPT, BARD, and …
Subdural hematoma is defined as blood collection in the subdural space between the dura
mater and arachnoid. Subdural hematoma is a condition that neurosurgeons frequently …
mater and arachnoid. Subdural hematoma is a condition that neurosurgeons frequently …
The Era of ChatGPT and Large Language Models: Can We Advance Patient-centered Communications Appropriately and Safely?
ChatGPT is not explicitly trained for the purpose of simplifying medical jargon but is instead
trained on general data. While the answers provided by the LLM may sound reasonable …
trained on general data. While the answers provided by the LLM may sound reasonable …
Accuracy and Readability of ChatGPT on Potential Complications of Interventional Radiology Procedures: AI-Powered Patient Interviewing
Rationale and Objectives It is crucial to inform the patient about potential complications and
obtain consent before interventional radiology procedures. In this study, we investigated the …
obtain consent before interventional radiology procedures. In this study, we investigated the …