[HTML][HTML] Focus: Big Data: Artificial Intelligence to Improve Patient Understanding of Radiology Reports

K Amin, P Khosla, R Doshi, S Chheang… - The Yale Journal of …, 2023 - ncbi.nlm.nih.gov
Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …

[HTML][HTML] A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care …

M Sallam, M Barakat, M Sallam - Interactive Journal of Medical Research, 2024 - i-jmr.org
Background: Adherence to evidence-based practice is indispensable in health care.
Recently, the utility of generative artificial intelligence (AI) models in health care has been …

Accuracy of ChatGPT, Google Bard, and Microsoft Bing for simplifying radiology reports

KS Amin, MA Davis, R Doshi, AH Haims, P Khosla… - Radiology, 2023 - pubs.rsna.org
Accuracy of ChatGPT, Google Bard, and Microsoft Bing for Simplifying Radiology Reports |
Radiology RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home Journals All …

Comparison of large language models in management advice for melanoma: Google's AI BARD, BingAI and ChatGPT

X Mu, B Lim, I Seth, Y Xie, J Cevik… - Skin Health and …, 2024 - academic.oup.com
Abstract Background Large language models (LLMs) are emerging artificial intelligence (AI)
technology refining research and healthcare. Their use in medicine has seen numerous …

Performance of gpt-4 with vision on text-and image-based acr diagnostic radiology in-training examination questions

N Hayden, S Gilbert, LM Poisson, B Griffith, C Klochko - Radiology, 2024 - pubs.rsna.org
Background Recent advancements, including image processing capabilities, present new
potential applications of large language models such as ChatGPT (OpenAI), a generative …

Validity and reliability of artificial intelligence chatbots as public sources of information on endodontics

H Mohammad‐Rahimi, SAH Ourang… - International …, 2024 - Wiley Online Library
Aim This study aimed to evaluate and compare the validity and reliability of responses
provided by GPT‐3.5, Google Bard, and Bing to frequently asked questions (FAQs) in the …

[HTML][HTML] Large language models: a guide for radiologists

S Kim, C Lee, S Kim - Korean Journal of Radiology, 2024 - ncbi.nlm.nih.gov
Large language models (LLMs) have revolutionized the global landscape of technology
beyond natural language processing. Owing to their extensive pre-training on vast datasets …

[HTML][HTML] ChatGPT or Bard: Who is a better Certified Ethical Hacker?

R Raman, P Calyam, K Achuthan - Computers & Security, 2024 - Elsevier
In this study, we compare two leading Generative AI (GAI) tools, ChatGPT and Bard,
specifically in Cybersecurity, using a robust set of standardized questions from a validated …

[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 …

[HTML][HTML] Transforming clinical trials: the emerging roles of large language models

JL Ghim, S Ahn - Translational and Clinical Pharmacology, 2023 - ncbi.nlm.nih.gov
Clinical trials are essential for medical research, but they often face challenges in matching
patients to trials and planning. Large language models (LLMs) offer a promising solution …