Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board–style Examination
Background ChatGPT (OpenAI) can pass a text-based radiology board–style examination,
but its stochasticity and confident language when it is incorrect may limit utility. Purpose To …
but its stochasticity and confident language when it is incorrect may limit utility. Purpose To …
[HTML][HTML] Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging
A Sindhu, U Jadhav, B Ghewade, J Bhanushali… - Cureus, 2024 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has emerged as a transformative force in healthcare, particularly in
pulmonary diagnostics. This comprehensive review explores the impact of AI on …
pulmonary diagnostics. This comprehensive review explores the impact of AI on …
A survey on advancements in image-text multimodal models: From general techniques to biomedical implementations
With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …
Language Processing (NLP), the development of image-text multimodal models has …
[HTML][HTML] Uncover this tech term: uncertainty quantification for deep learning
Uncover This Tech Term: Uncertainty Quantification for Deep Learning - PMC Back to Top
Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
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 …
College of Radiology (ACR) 2022 Diagnostic Radiology In-Training Examination (DXIT). We …
[HTML][HTML] A responsible framework for applying artificial intelligence on medical images and signals at the point-of-care: the PACS-AI platform
P Theriault-Lauzier, D Cobin, O Tastet… - Canadian Journal of …, 2024 - Elsevier
The potential of artificial intelligence (AI) in medicine lies in its ability to enhance clinicians'
capacity to analyze medical images, thereby improving diagnostic precision and accuracy …
capacity to analyze medical images, thereby improving diagnostic precision and accuracy …
Radiology AI in the real world: commentary on “Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society …
AP Brady - European Radiology, 2024 - Springer
There can be little doubt that the introduction and growth of artificial intelligence (AI)
applications in radiology represents one of the most exciting and yet potentially disruptive …
applications in radiology represents one of the most exciting and yet potentially disruptive …
Is Automatic Tumor Segmentation on Whole-Body 18F-FDG PET Images a Clinical Reality?
LKS Sundar, T Beyer - Journal of Nuclear Medicine, 2024 - Soc Nuclear Med
The integration of automated whole-body tumor segmentation using 18 F-FDG PET/CT
images represents a pivotal shift in oncologic diagnostics, enhancing the precision and …
images represents a pivotal shift in oncologic diagnostics, enhancing the precision and …
A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Abstract Background and purpose Artificial Intelligence (AI) models in radiation therapy are
being developed with increasing pace. Despite this, the radiation therapy community has not …
being developed with increasing pace. Despite this, the radiation therapy community has not …
Artificial Intelligence in Breast Imaging Daily Clinical Practice: Counterpoint—Proceed With Caution
LA Mullen, EB Ambinder - American Journal of …, 2024 - Am Roentgen Ray Soc
Artificial intelligence (AI) has the potential to enhance the daily clinical practice of breast
imaging, including improvement in performance metrics, risk prediction, workflows, and …
imaging, including improvement in performance metrics, risk prediction, workflows, and …