Diagnostic Performance of ChatGPT from Patient History and Imaging Findings on the Diagnosis Please Quizzes

D Ueda, Y Mitsuyama, H Takita, D Horiuchi… - Radiology, 2023 - pubs.rsna.org
ChatGPT's Diagnostic Performance from Patient History and Imaging Findings on the
Diagnosis Please Quizzes | Radiology RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu …

[HTML][HTML] AE-GPT: Using Large Language Models to extract adverse events from surveillance reports-A use case with influenza vaccine adverse events

Y Li, J Li, J He, C Tao - Plos one, 2024 - journals.plos.org
Though Vaccines are instrumental in global health, mitigating infectious diseases and
pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large …

[PDF][PDF] Artificial intelligence (AI) in radiology: a deep dive into ChatGPT 4.0's accuracy with the American Journal of Neuroradiology's (AJNR)" Case of the Month"

PP Suthar, A Kounsal, L Chhetri, D Saini, SG Dua - Cureus, 2023 - cureus.com
The advent of artificial intelligence (AI), particularly large language models (LLMs) such as
ChatGPT 4.0, holds significant potential in healthcare, specifically in radiology. This study …

The application of large language models in medicine: A scoping review

X Meng, X Yan, K Zhang, D Liu, X Cui, Y Yang… - Iscience, 2024 - cell.com
This study systematically reviewed the application of Large Language Models (LLMs) in
medicine, analysing 550 selected studies from a vast literature search. LLMs like ChatGPT …

Comparison of the Diagnostic Performance from Patient's Medical History and Imaging Findings between GPT-4 based ChatGPT and Radiologists in Challenging …

D Horiuchi, H Tatekawa, T Oura, S Oue, SL Walston… - medRxiv, 2023 - medrxiv.org
Purpose To compare the diagnostic performance between Chat Generative Pre-trained
Transformer (ChatGPT), based on the GPT-4 architecture, and radiologists from patient's …

Reliability of ChatGPT for performing triage task in the emergency department using the Korean Triage and Acuity Scale

JH Kim, SK Kim, J Choi, Y Lee - Digital Health, 2024 - journals.sagepub.com
Background Artificial intelligence (AI) technology can enable more efficient decision-making
in healthcare settings. There is a growing interest in improving the speed and accuracy of AI …

Comparative Analysis of ChatGPT's Diagnostic Performance with Radiologists Using Real-World Radiology Reports of Brain Tumors

Y Mitsuyama, H Tatekawa, H Takita, F Sasaki… - medRxiv, 2023 - medrxiv.org
Background Large Language Models like Chat Generative Pre-trained Transformer
(ChatGPT) have demonstrated potential for differential diagnosis in radiology. Previous …

Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases

D Horiuchi, H Tatekawa, T Oura, S Oue… - Clinical …, 2024 - Springer
Purpose To compare the diagnostic performance among Generative Pre-trained
Transformer (GPT)-4-based ChatGPT, GPT‑4 with vision (GPT-4V) based ChatGPT, and …

Guidelines For Rigorous Evaluation of Clinical LLMs For Conversational Reasoning

S Johri, J Jeong, BA Tran, DI Schlessinger… - medRxiv, 2023 - medrxiv.org
Abstract The integration of Large Language Models (LLMs) like GPT-4 and GPT-3.5 into
clinical diagnostics has the potential to transform patient-doctor interactions. However, the …

[HTML][HTML] Les Printemps de la Médecine Interne: l'intelligence artificielle face aux experts internistes

A Albaladejo, A Lorleac'h, JS Allain - La Revue de Médecine Interne, 2024 - Elsevier
Résumé Introduction Les Printemps de la Médecine Interne sont des journées de formations
pour les internistes francophones. Les cas cliniques présentés à ces journées sont …