[HTML][HTML] From machine learning to deep learning: An advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2023 - Elsevier
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

[HTML][HTML] Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources

İ Meşe, CA Taşlıçay, BN Kuzan, TY Kuzan… - Diagnostic and …, 2024 - ncbi.nlm.nih.gov
Rapid technological advances have transformed medical education, particularly in
radiology, which depends on advanced imaging and visual data. Traditional electronic …

Could ChatGPT pass the UK radiology fellowship examinations?

S Ariyaratne, N Jenko, AM Davies, KP Iyengar… - Academic …, 2024 - Elsevier
Rationale and Objectives Chat Generative Pre-trained Transformer (ChatGPT) is an artificial
intelligence (AI) tool which utilises machine learning to generate original text resembling …

Assessing GPT-4 multimodal performance in radiological image analysis

D Brin, V Sorin, Y Barash, E Konen, G Nadkarni… - medRxiv, 2023 - medrxiv.org
Objectives This study aims to assess the performance of OpenAI's multimodal GPT-4, which
can analyze both images and textual data (GPT-4V), in interpreting radiological images. It …

Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning

DL Payne, K Purohit, WM Borrero, K Chung, M Hao… - Academic radiology, 2024 - Elsevier
Rationale and Objectives In our study, we evaluate GPT-4′ s performance on the American
College of Radiology (ACR) 2022 Diagnostic Radiology In-Training Examination (DXIT). We …

ChatGPT Goes to The Radiology Department: A Pictorial Review

C Zanon, A Toniolo, C Bini, E Quaia - 2023 - preprints.org
Artificial intelligence (AI) tools, such as OpenAI's Chat Generative Pre-trained Transformer
(ChatGPT), have great potential in various fields, such as healthcare, education, and …

The accuracy of large language models in RANZCR's clinical radiology exam sample questions

MS Beşler - Japanese Journal of Radiology, 2024 - Springer
Dear editor, I read with great excitement the study conducted by Nakaura et al., examining
the potential of large language models (LLMs) to serve as copilots or autonomous agents in …

[HTML][HTML] Harnessing ChatGPT dialogues to address claustrophobia in MRI-A radiographers' education perspective

GR Bonfitto, A Roletto, M Savardi, SV Fasulo… - Radiography, 2024 - Elsevier
Introduction The healthcare sector invests significantly in communication skills training, but
not always with satisfactory results. Recently, generative Large Language Models, have …

Integrating AI in Lipedema Management: Assessing the Efficacy of GPT-4 as a Consultation Assistant

T Leypold, LF Lingens, JP Beier, AM Boos - Life, 2024 - mdpi.com
The role of artificial intelligence (AI) in healthcare is evolving, offering promising avenues for
enhancing clinical decision making and patient management. Limited knowledge about …

The virtual reference radiologist: comprehensive AI assistance for clinical image reading and interpretation

R Siepmann, M Huppertz, A Rastkhiz, M Reen… - European …, 2024 - Springer
Abstract Objectives Large language models (LLMs) have shown potential in radiology, but
their ability to aid radiologists in interpreting imaging studies remains unexplored. We …