[HTML][HTML] ChatGPT in healthcare: a taxonomy and systematic review

J Li, A Dada, B Puladi, J Kleesiek, J Egger - Computer Methods and …, 2024‏ - Elsevier
The recent release of ChatGPT, a chat bot research project/product of natural language
processing (NLP) by OpenAI, stirs up a sensation among both the general public and …

Chatbots and large language models in radiology: a practical primer for clinical and research applications

R Bhayana - Radiology, 2024‏ - pubs.rsna.org
Although chatbots have existed for decades, the emergence of transformer-based large
language models (LLMs) has captivated the world through the most recent wave of artificial …

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare

D Oniani, J Hilsman, Y Peng, RK Poropatich… - NPJ Digital …, 2023‏ - nature.com
In 2020, the US Department of Defense officially disclosed a set of ethical principles to guide
the use of Artificial Intelligence (AI) technologies on future battlefields. Despite stark …

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

TA D'Antonoli, A Stanzione… - Diagnostic and …, 2024‏ - pmc.ncbi.nlm.nih.gov
With the advent of large language models (LLMs), the artificial intelligence revolution in
medicine and radiology is now more tangible than ever. Every day, an increasingly large …

Potential of GPT-4 for detecting errors in radiology reports: implications for reporting accuracy

RJ Gertz, T Dratsch, AC Bunck, S Lennartz, AI Iuga… - Radiology, 2024‏ - pubs.rsna.org
Background Errors in radiology reports may occur because of resident-to-attending
discrepancies, speech recognition inaccuracies, and large workload. Large language …

Generative artificial intelligence in healthcare: A sco** review on benefits, challenges and applications

K Moulaei, A Yadegari, M Baharestani… - International Journal of …, 2024‏ - Elsevier
Background Generative artificial intelligence (GAI) is revolutionizing healthcare with
solutions for complex challenges, enhancing diagnosis, treatment, and care through new …

Evaluating GPT-4V (GPT-4 with vision) on detection of radiologic findings on chest radiographs

Y Zhou, H Ong, P Kennedy, CC Wu, J Kazam, K Hentel… - Radiology, 2024‏ - pubs.rsna.org
Background Generating radiologic findings from chest radiographs is pivotal in medical
image analysis. The emergence of OpenAI's generative pretrained transformer, GPT-4 with …

Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care

S Tripathi, R Sukumaran, TS Cook - Journal of the American …, 2024‏ - academic.oup.com
Purpose This article explores the potential of large language models (LLMs) to automate
administrative tasks in healthcare, alleviating the burden on clinicians caused by electronic …

[HTML][HTML] ChatGPT in radiology: A systematic review of performance, pitfalls, and future perspectives

P Keshavarz, S Bagherieh, SA Nabipoorashrafi… - Diagnostic and …, 2024‏ - Elsevier
Purpose The purpose of this study was to systematically review the reported performances
of ChatGPT, identify potential limitations, and explore future directions for its integration …

A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports

D Truhn, CD Weber, BJ Braun, K Bressem… - Scientific Reports, 2023‏ - nature.com
Large language models (LLMs) have shown potential in various applications, including
clinical practice. However, their accuracy and utility in providing treatment recommendations …