AIMC Topic: Radiology

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Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals.

Korean journal of radiology
The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generative artificial intelligence (AI) models in the medical field. This review summarizes different gener...

Environmental Sustainability and AI in Radiology: A Double-Edged Sword.

Radiology
According to the World Health Organization, climate change is the single biggest health threat facing humanity. The global health care system, including medical imaging, must manage the health effects of climate change while at the same time addressi...

Classification of Diagnostic Certainty in Radiology Reports with Deep Learning.

Studies in health technology and informatics
A radiology report is prepared for communicating clinical information about observed abnormal structures and clinically important findings with referring clinicians. However, such observations and findings are often accompanied by ambiguous expressio...

Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations.

Radiology. Artificial intelligence
This prospective exploratory study conducted from January 2023 through May 2023 evaluated the ability of ChatGPT to answer questions from Brazilian radiology board examinations, exploring how different prompt strategies can influence performance usin...

Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology.

Radiology
Despite recent advancements in machine learning (ML) applications in health care, there have been few benefits and improvements to clinical medicine in the hospital setting. To facilitate clinical adaptation of methods in ML, this review proposes a s...

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA.

Radiology. Artificial intelligence
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...

Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications.

Radiology
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 intelligence chatbots, including ChatGPT. Transformers are a type of neura...

Revisiting the Trustworthiness of Saliency Methods in Radiology AI.

Radiology. Artificial intelligence
Purpose To determine whether saliency maps in radiology artificial intelligence (AI) are vulnerable to subtle perturbations of the input, which could lead to misleading interpretations, using prediction-saliency correlation (PSC) for evaluating the s...

Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Artificial intelligence (AI)-based clinical decision support systems to aid diagnosis are increasingly being developed and implemented but with limited understanding of how such systems integrate with existing clinical work and organizati...